---
title: Quant Letter No. 55: July 2024, Week 1
url: https://www.ml-quant.com/issues/2024-07-03/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
issue_date: 2024-07-03
---


# Quant Letter No. 55: July 2024, Week 1

Sent 2024-07-03. 127 items.

## arXiv

### Finance

- __[Dependence and Risk Aggregation](https://arxiv.org/abs/2406.19242)__: The research investigates the concept of dependence uncertainty and its effect on tail risk measures in relation to credit risk, showing that even minor positive dependence between losses can lead to perfectly correlated tails beyond a certain point. (2024-06-27, shares: 6) · https://www.ml-quant.com/papers/arxiv/2406.19242/
- __[Optimal Consumption with Loss-Aversion](https://arxiv.org/abs/2406.20063)__: The article examines a loss-averse version of the multiplicative habit formation preference, establishing the optimal consumption and investment policies and providing a detailed analysis of the HJB equation for the concavified problem. (2024-06-28, shares: 3) · https://www.ml-quant.com/papers/arxiv/2406.20063/
- __[Financial Metrics Analysis](http://dx.doi.org/10.13140/rg.2.2.34990.11847/1)__: The evaluation of the M6 Competition's performance assessment methods shows that most participants generated lower risk-adjusted returns and failed to outperform in raw returns, emphasizing the differing incentives between competitors and professional investors. (2024-06-27, shares: 2) · https://www.ml-quant.com/papers/doi/10-13140-rg-2-2-34990-11847-1/

### Economics

- __[Credit Ratings & Capital Structure](https://arxiv.org/abs/2406.18936)__: The research uses double machine learning to show that credit ratings significantly influence a company's leverage ratio, with the impact varying based on the rating, and the shift from no impact to a positive impact is gradual. (2024-06-27, shares: 8) · https://www.ml-quant.com/papers/arxiv/2406.18936/
- __[STV Voting Paradoxes](https://arxiv.org/abs/2406.20045)__: The research examines a paradox in single transferable vote elections, where increased participation from non-supporters or decreased participation from supporters can alter the election result, using Scottish elections as examples. (2024-06-28, shares: 5) · https://www.ml-quant.com/papers/arxiv/2406.20045/
- __[Competitive Balance in UEFA CL](https://arxiv.org/abs/2406.19222)__: The study introduces six new indices to measure competitive balance in the UEFA Champions League group stage, finding no evidence of any trend in the competitive balance from the 2003/04 to 2023/24 seasons. (2024-06-27, shares: 4) · https://www.ml-quant.com/papers/arxiv/2406.19222/
- __[Non-Linear Int'l Spillovers](https://arxiv.org/abs/2406.19938)__: The research explores the effects of the European Central Bank's Anti-Fragmentation Policy on non-ERM II, EU countries, finding significant evidence of non-linearities in the international spillovers of ECB policy. (2024-06-28, shares: 2) · https://www.ml-quant.com/papers/arxiv/2406.19938/

### Crypto & Blockchain

- __[Global Compute Exchange: Revolutionizing Resource Allocation](http://arxiv.org/abs/2406.19261v1)__: Revolutionizing Resource Allocation: The article discusses the Global Compute Exchange (GCX), a new platform that uses blockchain technology to create a secure marketplace for trading computational power. The platform aims to optimize resource use, stabilize pricing, and make access to computational resources more democratic. (2024-06-27, shares: 5) · https://www.ml-quant.com/papers/arxiv/2406.19261/

### Historical Trending

- __[LSTM-ARIMA Hybrid in Algorithmic Investment](https://arxiv.org/abs/2406.18206)__: The study introduces LSTM-ARIMA, an algorithmic investment strategy that combines LSTM and ARIMA models, and proves its superior performance in risk-adjusted return measures across three equity indices. (2024-06-26, shares: 9) · https://www.ml-quant.com/papers/arxiv/2406.18206/
- __[Submodular Function Representation](https://arxiv.org/abs/2406.18174)__: The article presents an alternative proof showing that a finite continuous non-decreasing submodular set function can be expressed as a supremum of measures dominated by the function, using a standard extension theorem of measures. (2024-06-26, shares: 6) · https://www.ml-quant.com/papers/arxiv/2406.18174/
- __[AlphaForge: Formulaic Alpha Generation Framework](https://arxiv.org/abs/2406.18394)__: Formulaic Alpha Generation Framework: The paper introduces AlphaForge, a two-stage formulaic alpha generating framework that uses a generative-predictive neural network for factor generation and dynamic weight adjustment, showing improved performance in alpha factor mining. (2024-06-26, shares: 6) · https://www.ml-quant.com/papers/arxiv/2406.18394/
- __[Merton's Default Risk Model for Public Company](https://arxiv.org/abs/2406.18121)__: The paper expands Merton's structural model for public companies, assuming observed liabilities, and provides formulas for risk-neutral equity and liability values, default probabilities, and machine learning estimators of the model's parameters. (2024-06-26, shares: 5) · https://www.ml-quant.com/papers/arxiv/2406.18121/

## SSRN

### Quantitative

- __[Impact of Margin Trading Ban on Crypto Exchanges](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4881388)__: A study shows that a ban on margin trading in cryptocurrencies leads to less market volume and volatility, but more informed trading on Binance. (2024-07-01, shares: 3) · https://www.ml-quant.com/papers/ssrn/4881388/
- __[New Approximate Mixing Concept for Time Series](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4882128)__: A new concept called approximate mixing for random variables on metric spaces provides a balance between traditional mixing assumptions and proves a central limit theorem for nonstationary time series on Hilbert spaces. (2024-07-01, shares: 9) · https://www.ml-quant.com/papers/ssrn/4882128/
- __[Economic Policy Uncertainty and Hedge Fund Returns](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4882292)__: Hedge funds perform worse when there is economic policy uncertainty, especially those with high EPU beta funds due to their inability to predict EPU fluctuations. (2024-07-02, shares: 5) · https://www.ml-quant.com/papers/ssrn/4882292/
- __[Accuracy of Implied Volatility in Forecasting VaR](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4880278)__: A comparison study reveals that option-implied volatility underestimates risk during market turbulence when estimating risk factor’s volatility in Value-at-Risk (VaR) computation. (2024-06-29, shares: 2) · https://www.ml-quant.com/papers/ssrn/4880278/
- __[PLOD Predictive Learning for Data Discovery](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4882133)__: The PLOD algorithm, based on the BOD method, can accurately predict the desired utility function from data without needing the exact utility function, enhancing efficiency in data science and analytics. (2024-07-01, shares: 2) · https://www.ml-quant.com/papers/ssrn/4882133/
- __[Markowitz and CAPM Limitations](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4879521)__: The article questions the validity of the MeanVariance (MV) model and the Capital Asset Pricing Model (CAPM) due to market portfolio inefficiency and the failure of asset expected returns in beta under realistic constraints. (2024-06-27, shares: 2) · https://www.ml-quant.com/papers/ssrn/4879521/
- __[Gibson-Schwartz Commodity Models](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4881648)__: The article extends the Gibson and Schwartz 1990 and Schwartz and Smith 2000 twofactor models for commodity spot price to include stochastic volatility and correlation, improving match with volatility smiles and studying timevarying correlation in commodity markets. (2024-07-01, shares: 2) · https://www.ml-quant.com/papers/ssrn/4881648/
- __[Hybrid Machine Learning for Armor Prediction](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4881827)__: The article proposes a data-driven framework using a hybrid model of Support Vector Machine and Deep Neural Network for predicting the ballistic performance of composite armor, demonstrating high accuracy and generalizability. (2024-07-01, shares: 2) · https://www.ml-quant.com/papers/ssrn/4881827/
- __[DataDriven Modeling for Self-Similar Dynamics](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4878940)__: The article introduces a multiscale neural network framework that incorporates selfsimilarity as prior knowledge, enabling the modeling of selfsimilar dynamical systems in complex systems. (2024-06-27, shares: 3) · https://www.ml-quant.com/papers/ssrn/4878940/
- __[Multimodal Foundation Models in Auditing Practices](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4881256)__: The article proposes an AI-based multimodal auditing system that integrates data from diverse documents and allows auditors to complete tasks using natural language, demonstrating its feasibility through a simulation case study. (2024-07-01, shares: 2) · https://www.ml-quant.com/papers/ssrn/4881256/
- __[Market Impact of 0DTE Options](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4881008)__: The increased trading of SP 500 index options that expire on the same day reduces stock market volatility due to market makers' intraday rebalancing of the index. (2024-06-17, shares: 6) · https://www.ml-quant.com/papers/ssrn/4881008/
- __[Deep Learning for Text](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4878546)__: The research provides an in-depth review of deep learning techniques for text summarization, including different structures, attention mechanisms, and recent evaluation metrics. (2023-07-15, shares: 2) · https://www.ml-quant.com/papers/ssrn/4878546/
- __[Machine Learning for Drug Accessibility](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4879072)__: Two machine learning models, MLPRegressor and Keras Sequential, have been created to predict the synthetic accessibility scores of molecules with a mean squared error of around 0.20. (2023-08-26, shares: 2) · https://www.ml-quant.com/papers/ssrn/4879072/
- __[Cyber Attack Detection with ML](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4878268)__: The research suggests using deep neural networks to identify deception attacks in cyber-physical systems that disrupt system performance by injecting false data. (2023-03-03, shares: 2) · https://www.ml-quant.com/papers/ssrn/4878268/

### Financial

- __[Esscher Algorithm for Default Probabilities](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4880705)__: The article presents a new Esscher-based algorithm for determining default probabilities in structural credit risk models, providing a more accurate tail behavior than the traditional Merton model. (2024-06-29, shares: 2) · https://www.ml-quant.com/papers/ssrn/4880705/
- __[Ethereum Spot ETF Basis Trade](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4879674)__: The study examines the possible profits and risks of basis trading with Ethereum futures contracts after the launch of Ethereum spot ETFs, and suggests alternative trading strategies and further research on long-term profitability. (2024-06-28, shares: 2) · https://www.ml-quant.com/papers/ssrn/4879674/
- __[Investor Perception of Startup IPOs](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4881357)__: The research explores investor knowledge of startup IPOs in Karnataka, using statistical analysis to understand the link between IPO size, company profile, sector performance, and investment choices. (2024-07-01, shares: 3) · https://www.ml-quant.com/papers/ssrn/4881357/
- __[Corporate Bond Spillovers](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4880869)__: The study finds that bond peer momentums, particularly those with shared analyst linkage, can predict future bond returns in the corporate bond market. This strategy can yield significant profits, especially for bonds with less investor attention and higher arbitrage costs. (2023-03-31, shares: 3) · https://www.ml-quant.com/papers/ssrn/4880869/

## RePEc

### Finance

- __[Machine Learning for Financial Forecasting](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.emerald.com%2Finsight%2Fcontent%2Fdoi%2F10.1108%2FREGE-05-2022-0079%2Ffull%2Fhtml%3Futm_source%3Drepec%26utm_medium%3Dfeed%26utm_campaign%3Drepec%3Bh%3Drepec%3Aeme%3Aregepp%3Arege-05-2022-0079)__: The research shows machine learning models effectively predict stock price movements during unstable periods like the Russia-Ukraine war, but not during stable periods. (2024-07-03, shares: 33) · https://www.ml-quant.com/papers/repec/eme-regepp-rege-05-2022-0079/
- __[Chinese Copper Futures Market Efficiency](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS1057521924001753%3Bh%3Drepec%3Aeee%3Afinana%3Av%3A94%3Ay%3A2024%3Ai%3Ac%3As1057521924001753)__: The paper finds no significant arbitrage opportunities in copper futures traded on the Shanghai Futures Exchange from 2006 to 2022, supporting the market efficiency rule. (2024-07-03, shares: 31) · https://www.ml-quant.com/papers/repec/eee-finana-v-94-y-2024-i-c-s1057521924001753/
- __[Forecasting Accuracy in Markets](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.mdpi.com%2F2227-7072%2F12%2F3%2F59%2Fpdf%3Bh%3Drepec%3Agam%3Ajijfss%3Av%3A12%3Ay%3A2024%3Ai%3A3%3Ap%3A59-%3Ad%3A1422975)__: The study reveals that different models are more effective for different assets like gold, cocoa, and the S&P500 index, impacting risk management strategies. (2024-07-03, shares: 31) · https://www.ml-quant.com/papers/repec/gam-jijfss-v-12-y-2024-i-3-p-59-d-1422975/
- __[Cryptocurrency Volatility](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1186%2Fs40854-024-00646-y%3Bh%3Drepec%3Aspr%3Afininn%3Av%3A10%3Ay%3A2024%3Ai%3A1%3Ad%3A10.1186_s40854-024-00646-y)__: The paper finds that positive market returns at the high-frequency level increase price volatility in the cryptocurrency market, contradicting traditional financial literature. (2024-07-03, shares: 25) · https://www.ml-quant.com/papers/repec/spr-fininn-v-10-y-2024-i-1-d-10-1186-s40854-024-00646-y/
- __[Asian Stock Exchange Volatility Analysis](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.emerald.com%2Finsight%2Fcontent%2Fdoi%2F10.1108%2FJCEFTS-01-2024-0009%2Ffull%2Fhtml%3Futm_source%3Drepec%26utm_medium%3Dfeed%26utm_campaign%3Drepec%3Bh%3Drepec%3Aeme%3Ajcefts%3Ajcefts-01-2024-0009)__: The research shows volatility clustering in the return series of crude oil, Bitcoin, and selected Asian stock exchanges, with varying degrees of short and long-term volatility spillover. (2024-07-03, shares: 24) · https://www.ml-quant.com/papers/repec/eme-jcefts-jcefts-01-2024-0009/
- __[Alpha Testing in Linear Factor Models](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fhdl.handle.net%2F10.1093%2Fjjfinec%2Fnbad002%3Bh%3Drepec%3Aoup%3Ajfinec%3Av%3A22%3Ay%3A2024%3Ai%3A2%3Ap%3A407-460.)__: The article introduces a new, faster test for alpha in linear factor pricing models, which remains valid even with a large number of securities and can account for some pricing errors, finding evidence against certain asset pricing models during the Great Recession. (2024-07-03, shares: 23) · https://www.ml-quant.com/papers/repec/oup-jfinec-v-22-y-2024-i-2-p-407-460/
- __[Hedge Fund Strategies and Low Beta Anomaly](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS1059056024002740%3Bh%3Drepec%3Aeee%3Areveco%3Av%3A93%3Ay%3A2024%3Ai%3Apa%3Ap%3A1507-1525)__: The study reveals that hedge funds significantly benefit from the low beta anomaly, attributing about 2.3% per year of apparent alpha to the anomaly rather than manager skill, with low skill managers relying most on the anomaly for returns. (2024-07-03, shares: 22) · https://www.ml-quant.com/papers/repec/eee-reveco-v-93-y-2024-i-pa-p-1507-1525/
- __[Optimal Consumption-Investment with Alternative Data](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs00780-024-00535-3%3Bh%3Drepec%3Aspr%3Afinsto%3Av%3A28%3Ay%3A2024%3Ai%3A3%3Ad%3A10.1007_s00780-024-00535-3)__: The study presents a new duality theory for optimal consumption-investment problem, using alternative data like social media commentary and pandemic data for predicting stock trends, and offers a unique smooth solution for an agent with constant relative risk aversion. (2024-07-03, shares: 22) · https://www.ml-quant.com/papers/repec/spr-finsto-v-28-y-2024-i-3-d-10-1007-s00780-024-00535-3/
- __[Asset Pricing Factors in Valuation](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0275531924001594%3Bh%3Drepec%3Aeee%3Ariibaf%3Av%3A70%3Ay%3A2024%3Ai%3Apb%3As0275531924001594)__: The research indicates that using pricing factor variables in the corporate valuation process with an eight-factor model reduces estimation errors and improves precision, contributing to the intersection of empirical asset pricing and corporate finance. (2024-07-03, shares: 21) · https://www.ml-quant.com/papers/repec/eee-riibaf-v-70-y-2024-i-pb-s0275531924001594/
- __[Roughness in Oil Volatility](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fhdl.handle.net%2F10.1080%2F14697688.2023.2291081%3Bh%3Drepec%3Ataf%3Aquantf%3Av%3A24%3Ay%3A2024%3Ai%3A3-4%3Ap%3A347-363)__: The paper examines the roughness of oil market volatility using unspanned stochastic volatility models, demonstrating that an additional parameter indicating the roughness improves the calibration by almost a factor of 10, highlighting the importance of modeling the time dependency of the roughness. (2024-07-03, shares: 19) · https://www.ml-quant.com/papers/repec/taf-quantf-v-24-y-2024-i-3-4-p-347-363/

### Statistical

- __[XGBoost for LGD Approximation](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.wne.uw.edu.pl%2Fdownload_file%2F4362%2F0%3Bh%3Drepec%3Awar%3Awpaper%3A2024-12)__: The study uses machine learning to enhance the accuracy of Loss Given Default (LGD) estimation in situations with limited cash-flow data, using a European mortgage portfolio. (2024-07-03, shares: 25) · https://www.ml-quant.com/papers/repec/war-wpaper-2024-12/
- __[Machine Learning for Stock Selection](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0275531924001296%3Bh%3Drepec%3Aeee%3Ariibaf%3Av%3A70%3Ay%3A2024%3Ai%3Apa%3As0275531924001296)__: The research finds that despite higher risks, machine learning algorithms can select a subset of stocks that outperform the S&P 500, with the importance of determining factors changing over time. (2024-07-03, shares: 24) · https://www.ml-quant.com/papers/repec/eee-riibaf-v-70-y-2024-i-pa-s0275531924001296/
- __[Analyzing Credit Spread Changes with AI](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS1057521924002473%3Bh%3Drepec%3Aeee%3Afinana%3Av%3A94%3Ay%3A2024%3Ai%3Ac%3As1057521924002473)__: The paper finds that machine learning models are more effective than regression models at modeling credit spread changes, and applies this to US and Euro Area bonds to measure the impact of different economic and financial variables. (2024-07-03, shares: 19) · https://www.ml-quant.com/papers/repec/eee-finana-v-94-y-2024-i-c-s1057521924002473/

### Machine Learning

- __[Cryptocurrency Options Pricing](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0264999324001081%3Bh%3Drepec%3Aeee%3Aecmode%3Av%3A136%3Ay%3A2024%3Ai%3Ac%3As0264999324001081)__: Machine learning models, particularly regression-tree methods, are better at pricing cryptocurrency options than traditional models due to their adaptability to cryptocurrency market dynamics. (2024-07-03, shares: 45) · https://www.ml-quant.com/papers/repec/eee-ecmode-v-136-y-2024-i-c-s0264999324001081/
- __[Interpretable Machine Learning](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0378426624001043%3Bh%3Drepec%3Aeee%3Ajbfina%3Av%3A164%3Ay%3A2024%3Ai%3Ac%3As0378426624001043)__: Interpretable machine learning proves superior in modeling corporate bond recovery rates, offering valuable insights into recovery rate determinants. (2024-07-03, shares: 39) · https://www.ml-quant.com/papers/repec/eee-jbfina-v-164-y-2024-i-c-s0378426624001043/
- __[Predicting Stock Market Direction](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0169207023000729%3Bh%3Drepec%3Aeee%3Aintfor%3Av%3A40%3Ay%3A2024%3Ai%3A3%3Ap%3A869-880)__: Machine learning models, specifically random forests and bagging, outperform traditional models in predicting the US stock market direction using volatility indices. (2024-07-03, shares: 26) · https://www.ml-quant.com/papers/repec/eee-intfor-v-40-y-2024-i-3-p-869-880/
- __[Cryptocurrency Predictability](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS1057521924001765%3Bh%3Drepec%3Aeee%3Afinana%3Av%3A94%3Ay%3A2024%3Ai%3Ac%3As1057521924001765)__: Machine learning models effectively predict cryptocurrency market returns using factors like market price, past alpha illiquidity, and momentum, and remain profitable despite high portfolio turnover. (2024-07-03, shares: 25) · https://www.ml-quant.com/papers/repec/eee-finana-v-94-y-2024-i-c-s1057521924001765/
- __[Dividend Prediction in Vietnam](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.worldscientific.com%2Fdoi%2Fabs%2F10.1142%2FS1793993324500091%3Bh%3Drepec%3Awsi%3Ajicepx%3Av%3A15%3Ay%3A2024%3Ai%3A02%3An%3As1793993324500091)__: The Random Forest machine learning algorithm successfully predicts dividend payouts in the Vietnamese stock market, enhancing decision-making and market transparency. (2024-07-03, shares: 23) · https://www.ml-quant.com/papers/repec/wsi-jicepx-v-15-y-2024-i-02-n-s1793993324500091/
- __[Machine Learning for GDP](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.snb.ch%2Fen%2Fpublications%2Fresearch%2Fworking-papers%2F2024%2Fworking_paper_2024_06%3Bh%3Drepec%3Asnb%3Asnbwpa%3A2024-06)__: Ridge, Elastic Net, and SVR machine learning methods outperform others in nowcasting GDP, proving more effective than principal components regression. (2024-07-03, shares: 21) · https://www.ml-quant.com/papers/repec/snb-snbwpa-2024-06/

### Deep Learning

- __[Bitcoin Volatility Forecasting with Deep Learning](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs10614-023-10392-5%3Bh%3Drepec%3Akap%3Acompec%3Av%3A63%3Ay%3A2024%3Ai%3A5%3Ad%3A10.1007_s10614-023-10392-5)__: The study uses an advanced deep learning model to predict Bitcoin's volatility, enhancing prediction accuracy by nearly 35% compared to other models. It also offers a risk warning system and trading strategy for investors. (2024-07-03, shares: 21) · https://www.ml-quant.com/papers/repec/kap-compec-v-63-y-2024-i-5-d-10-1007-s10614-023-10392-5/

### Historical Trending

- __[Machine Learning for Liquidity Estimation in US Treasury Bonds](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.emerald.com%2Finsight%2Fcontent%2Fdoi%2F10.1108%2FEJMBE-06-2022-0176%2Ffull%2Fhtml%3Futm_source%3Drepec%26utm_medium%3Dfeed%26utm_campaign%3Drepec%3Bh%3Drepec%3Aeme%3Aejmbep%3Aejmbe-06-2022-0176)__: The research uses machine learning to determine the predictive power of liquidity variables in economic fluctuations, with private sector data proving more useful than public sector data. (2023-12-25, shares: 34) · https://www.ml-quant.com/papers/repec/eme-ejmbep-ejmbe-06-2022-0176/
- __[Investor Attention and Volatility in China's Stock Market](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.emerald.com%2Finsight%2Fcontent%2Fdoi%2F10.1108%2FIJOEM-02-2021-0289%2Ffull%2Fhtml%3Futm_source%3Drepec%26utm_medium%3Dfeed%26utm_campaign%3Drepec%3Bh%3Drepec%3Aeme%3Aijoemp%3Aijoem-02-2021-0289)__: The study examines the volatility puzzle in China's stock market, concluding that individual investor attention increases volatility and securities analysts can lessen market information asymmetry. (2022-04-09, shares: 16) · https://www.ml-quant.com/papers/repec/eme-ijoemp-ijoem-02-2021-0289/
- __[Research-Practice Gap in Accounting Journals](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.emerald.com%2Finsight%2Fcontent%2Fdoi%2F10.1108%2FJAL-03-2023-0047%2Ffull%2Fhtml%3Futm_source%3Drepec%26utm_medium%3Dfeed%26utm_campaign%3Drepec%3Bh%3Drepec%3Aeme%3Ajalpps%3Ajal-03-2023-0047)__: The research uses machine learning to measure the gap between research and practice in accounting academia, identifying a significant topic-related gap that is more evident in the USA than in Europe. (2023-12-15, shares: 6) · https://www.ml-quant.com/papers/repec/eme-jalpps-jal-03-2023-0047/
- __[Labour Shortages and Older Worker Preferences](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Flahoreschoolofeconomics.edu.pk%2Fassets%2Fuploads%2Flje%2FVolume28%2F03_Ateeb_Akhter_Hassan_Raza_and_Mohsin_Waheed.pdf%3Bh%3Drepec%3Alje%3Ajournl%3Av%3A28%3Ay%3A2023%3Ai%3A1%3Ap%3A63-88)__: The article explores the likelihood of employers hiring older workers during labor shortages, revealing that recruitment difficulties increase preferences for hiring retired individuals and those over 55 with experience-related qualities. (2023-02-19, shares: 4) · https://www.ml-quant.com/papers/repec/lje-journl-v-28-y-2023-i-1-p-63-88/
- __[Employer Preferences for Older Workers in Labour Shortages](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.emerald.com%2Finsight%2Fcontent%2Fdoi%2F10.1108%2FIJM-05-2023-0233%2Ffull%2Fhtml%3Futm_source%3Drepec%26utm_medium%3Dfeed%26utm_campaign%3Drepec%3Bh%3Drepec%3Aeme%3Aijmpps%3Aijm-05-2023-0233)__: The paper was incomplete and did not provide sufficient information for a summary. (2023-05-21, shares: 2) · https://www.ml-quant.com/papers/repec/eme-ijmpps-ijm-05-2023-0233/

## Machine learning

### Recently Published

- __[Persona Data Creation](https://arxiv.org/abs/2406.20094)__: A new method for creating synthetic data uses 1 billion diverse personas, potentially transforming large language model research and development. (2024-06-28, shares: 258) · https://www.ml-quant.com/papers/arxiv/2406.20094/
- __[SAM Image Segmentation](https://arxiv.org/abs/2406.20081)__: UnSAM, a new automatic image segmentation model, performs competitively without needing human annotations, surpassing previous unsupervised models. (2024-06-28, shares: 97) · https://www.ml-quant.com/papers/arxiv/2406.20081/
- __[PoliFormer Navigators](https://arxiv.org/abs/2406.20083)__: PoliFormer, an indoor navigation agent trained in simulation, performs well in real-world scenarios, showing potential for various applications. (2024-06-28, shares: 61) · https://www.ml-quant.com/papers/arxiv/2406.20083/
- __[BMW Task Automation](https://arxiv.org/abs/2406.20041)__: A proposed agent engineering framework offers a scalable and flexible workflow for multiple autonomous agents to collaborate across various domains. (2024-06-28, shares: 13) · https://www.ml-quant.com/papers/arxiv/2406.20041/
- __[Dataset Recovery](https://arxiv.org/abs/2406.19395)__: A new task called dataset size recovery aims to determine the number of samples used to train a model, with a method called DSiRe proposed for this purpose. (2024-06-27, shares: 12) · https://www.ml-quant.com/papers/arxiv/2406.19395/
- __[Cross-lingual Sentiment Analysis](https://arxiv.org/abs/2406.19358)__: The study finds Small Multilingual Language Models (SMLM) excel in zero-shot cross-lingual sentiment analysis, while Large Language Models (LLM) perform better in few-shot scenarios. (2024-06-27, shares: 11) · https://www.ml-quant.com/papers/arxiv/2406.19358/
- __[HouseCrafter: 3D Scene Gen](https://arxiv.org/abs/2406.20077)__: 3D Scene Gen: HouseCrafter, a new method, can transform a floorplan into a 3D indoor scene using a 2D diffusion model trained on large-scale web images. (2024-06-28, shares: 7) · https://www.ml-quant.com/papers/arxiv/2406.20077/
- __[Costaware Bayesian Optimization](https://arxiv.org/abs/2406.20062)__: The paper suggests using the Gittins index from the Pandora's Box problem in economics as a function for cost-aware Bayesian optimization. (2024-06-28, shares: 7) · https://www.ml-quant.com/papers/arxiv/2406.20062/
- __[Robustness of LLMs](http://arxiv.org/abs/2406.19384v1)__: The study reveals that Large Language Models with more layers are more robust, and identifies four universal stages of inference across different models. (2024-06-27, shares: 7) · https://www.ml-quant.com/papers/arxiv/2406.19384/
- __[Data and Transformers for Audio Gen](https://arxiv.org/abs/2406.19388)__: AutoCap and GenAu, two new models for generating ambient sounds and effects, are introduced, improving the quality of audio captions and generated audio. (2024-06-27, shares: 6) · https://www.ml-quant.com/papers/arxiv/2406.19388/

### Historical Trending

- __[ByteFormer: File Byte Transformers](https://arxiv.org/abs/2306.00238)__: File Byte Transformers: ByteFormer is a deep learning model that enhances image classification accuracy by 5% and can perform audio classification without specific preprocessing, showcasing its versatility. (2023-06-01, shares: 156) · https://www.ml-quant.com/papers/arxiv/2306.00238/
- __[Content Diversity in Writing](https://arxiv.org/abs/2309.05196)__: InstructGPT, a large language model, can reduce diversity in collaborative writing, making different authors' writings more similar and decreasing overall content variety. (2023-09-11, shares: 149) · https://www.ml-quant.com/papers/arxiv/2309.05196/
- __[Large Language Models and Rationality](https://arxiv.org/abs/2406.17055)__: Large Language Models (LLMs) inaccurately perceive human decision-making as more rational than it is, aligning more with expected value theory, despite seeming to mimic human behavior. (2024-06-24, shares: 133) · https://www.ml-quant.com/papers/arxiv/2406.17055/
- __[Concept Forgetting in Foundation Models](https://arxiv.org/abs/2308.13320)__: Concept forgetting in AI models can be significantly reduced by a new fine-tuning method called LDIFS, which helps retain pre-trained knowledge while working on different tasks. (2023-08-25, shares: 75) · https://www.ml-quant.com/papers/arxiv/2308.13320/
- __[AutoMix: Language Model Optimization](https://arxiv.org/abs/2310.12963)__: Language Model Optimization: Automix is a new method that saves computational cost by over 50% by directing queries to larger language models based on the accuracy of outputs from smaller models. (2023-10-19, shares: 41) · https://www.ml-quant.com/papers/arxiv/2310.12963/
- __[Voice Anonymization Impact on COVID-19 Detection](https://arxiv.org/abs/2304.02181)__: The study shows that anonymized external data can mitigate the loss of diagnostic accuracy in speech-based COVID-19 diagnosis systems caused by voice anonymization methods. (2023-04-05, shares: 26) · https://www.ml-quant.com/papers/arxiv/2304.02181/
- __[Breaking Sabre: Buggy Defenses](https://arxiv.org/abs/2405.03672)__: Buggy Defenses: The paper exposes major flaws in the Sabre defense against adversarial examples, including gradient masking and bugs in the evaluation code, which when corrected, drop Sabre's robust accuracy to 0%. (2024-05-06, shares: 24) · https://www.ml-quant.com/papers/arxiv/2405.03672/
- __[Embedded FPGA for ML in Particle Detectors](https://arxiv.org/abs/2404.17701)__: The study successfully demonstrates the use of embedded field programmable gate array (eFPGA) technology in machine learning for data pipelines in future collider experiments, achieving perfect accuracy. (2024-04-26, shares: 23) · https://www.ml-quant.com/papers/arxiv/2404.17701/
- __[Forensic Linguistics Explainability](https://arxiv.org/abs/2404.18510)__: The research investigates the explainability of machine learning in forensic authorship profiling, finding that lexical features and place names play a significant role in the classification process. (2024-04-29, shares: 20) · https://www.ml-quant.com/papers/arxiv/2404.18510/

## Papers with code

### Trending

- __[DSP for Transformers](https://github.com/nus-hpc-ai-lab/opendit)__: The first article highlights the significance of enhancing multidimensional transformers for handling long sequences in different fields. (2024-07-01, shares: 1240)
- __[SelfPlay Optimization for Language Models](https://github.com/uclaml/sppo)__: The second article introduces a technique that can successfully boost the loglikelihood of a selected response while reducing that of a discarded one, a challenge not easily overcome by symmetric pairwise loss. (2024-07-01, shares: 177)
- __[Scaling Up Gaussian Splatting Training](https://github.com/nyu-systems/grendel-gs)__: The third article shows how Grendel enhances rendering quality by increasing 3DGS parameters across several GPUs in large-scale, high-resolution scenes. (2024-07-01, shares: 124)

### Rising

- __[StepDPO: Longchain Reasoning for LLMs](https://github.com/dvlab-research/step-dpo)__: Longchain Reasoning for LLMs: Large Language Models (LLMs) have difficulty with mathematical reasoning due to the requirement for detailed and accurate reasoning chains. (2024-07-01, shares: 62)
- __[Adammini: Fewer Learning Rates, Better Results](https://github.com/zyushun/adam-mini)__: Fewer Learning Rates, Better Results: By dividing parameters into blocks and assigning a single optimal learning rate to each, over 90% of learning rates could be eliminated without causing damage. (2024-06-28, shares: 61)
- __[MGLLaVA: MultiGranularity Visual Tuning](https://github.com/phoenixz810/mg-llava)__: MultiGranularity Visual Tuning: A high-resolution visual encoder is suggested to capture detailed visuals, which are then combined with basic visual features through a ConvGate fusion network. (2024-06-28, shares: 50)
- __[Efficient World Models with ContextAware Tokenization](https://github.com/vmicheli/delta-iris)__: The process of increasing the size and complexity of deep Reinforcement Learning (RL) methods poses a significant challenge. (2024-07-01, shares: 37)

## GitHub

### Finance

- __[Time Series ML Toolkit](https://github.com/aeon-toolkit/aeon)__: The article offers a detailed guide on using machine learning methods for analyzing time series data. (2022-12-20, shares: 883)
- __[Algo Trading System](https://github.com/austin-starks/NextTrade)__: The piece explores a trading system that utilizes algorithms for its operations. (2022-09-17, shares: 655)
- __[Vanilla Deep Hedging](https://github.com/hansbuehler/deephedging)__: The article explains the process of setting up a basic Deep Hedging engine. (2022-06-30, shares: 169)
- __[Trading Calendars](https://github.com/rsheftel/pandas_market_calendars)__: The piece discusses how to use exchange calendars with pandas for trading applications. (2016-12-07, shares: 747)
- __[RL Baselines3 Framework](https://github.com/DLR-RM/rl-baselines3-zoo)__: The article introduces a training structure for Stable Baselines3 reinforcement learning agents, featuring hyperparameter optimization and pretrained agents. (2020-05-05, shares: 1884)

### Trending

- __[Gemma Cookbook](https://github.com/google-gemini/gemma-cookbook)__: The article provides a collection of guides and examples for utilizing Google's Gemma open models. (2024-05-27, shares: 99)
- __[Mirascope](https://github.com/Mirascope/mirascope)__: The piece introduces a simple approach for building with LLMs. (2023-12-05, shares: 549)
- __[PyTorch Transformer](https://github.com/jadore801120/attention-is-all-you-need-pytorch)__: The article explores a PyTorch version of the Transformer model, as detailed in the Attention is All You Need paper. (2017-06-14, shares: 8578)
- __[PyOD](https://github.com/yzhao062/pyod)__: The article presents a robust and scalable Python library designed specifically for detecting anomalies and outliers. (2017-10-03, shares: 8230)
- __[MakeMore](https://github.com/karpathy/makemore)__: The piece introduces an autoregressive character-level language model designed to boost productivity. (2022-06-09, shares: 2259)

## News

### Quantitative

- __[Arrowpoint Launches Hedge Fund](https://www.hedgeweek.com/former-millennium-exec-launches-1bn-hedge-fund-arrowpoint/)__: Jonathan Xiong, former co-CEO of Millennium’s Asia operations, has started a new hedge fund, Arrowpoint Investment Partners, with over $1bn in assets. (2024-07-02, shares: 5)
- __[Falcon Reveals Hedge Fund Strategy](https://www.hedgeweek.com/falcon-unlocks-ultra-exclusive-hedge-fund-strategy-for-family-offices/)__: Falcon Investment Management in London has introduced a new fund, offering select investors temporary access to its exclusive investment platform. (2024-07-03, shares: 4)
- __[Hedge Funds Focus on Financials](https://www.hedgeweek.com/hedge-funds-swap-tech-stocks-for-financials-amid-strong-gains-says-goldman-sachs/)__: Goldman Sachs data reveals that hedge funds are shifting away from technology stocks, particularly semiconductor and chip equipment, after strong gains in Q1 2024. (2024-06-27, shares: 3)
- __[Segantii Insider Trading Case Delayed](https://www.hedgeweek.com/segantii-insider-trading-case-adjourned-to-october/)__: The insider trading case involving Segantii Capital Management, Simon Sadler, and ex-trader Daniel La Rocca has been delayed to 15 October by a Hong Kong court. (2024-07-02, shares: 3)
- __[Digital Asset Fund Outflows Decrease](https://www.hedgeweek.com/digital-asset-fund-outflows-slow-to-30m/)__: Digital asset investment products saw a third week of outflows, but the total of $30m is a significant decrease in recent outflows, as per CoinShares' report. (2024-07-02, shares: 3)
- __[Julia Khandoshko Urges Innovation in Asset Management](https://www.hedgeweek.com/asset-management-companies-must-offer-innovative-solutions-says-julia-khandoshko-ceo-of-mind-money/)__: Mind Money, a European broker, offers various trust management methods and represents major asset management firms in Europe, says CEO Julia Khandoshko. (2024-07-02, shares: 3)
- __[New Hedge Fund Favors Analysts Over PMs](https://www.hedgeweek.com/new-hedge-fund-backed-by-former-two-sigma-cio-will-hire-analysts-over-pms/)__: Taproot Management, a new hedge fund, plans to replace costly portfolio managers with a team of analysts for its $500m launch next year, Bloomberg reports. (2024-06-28, shares: 3)
- __[EEX and ECC Waive Fees for Nordic Power Markets](https://www.hedgeweek.com/eex-and-ecc-waive-transaction-and-clearing-fees-for-nordic-power-markets-for-six-months/)__: The European Energy Exchange and European Commodity Clearing are offering a six-month fee waiver for trading EEX Nordic Zonal Power Futures and EEX Nordic System Price Power Futures. (2024-07-01, shares: 3)
- __[BlackRock to Acquire Preqin for £2](https://www.hedgeweek.com/blackrock-to-acquire-private-markets-data-specialist-preqin-for-2-55bn/)__: BlackRock plans to acquire UK-based private markets data provider Preqin for £2.55bn ($3.2bn), merging Preqin’s data and research tools with Aladdin’s workflow capabilities. (2024-07-01, shares: 3)
- __[Hedge Funds Dump Global Equities Rapidly](https://www.hedgeweek.com/hedge-funds-dump-global-equities-in-june-at-fastest-pace-in-two-years/)__: Hedge funds sold global equities at the fastest rate in two years in June, marking the third month of net selling, mainly driven by short sales, says a Reuters report. (2024-07-03, shares: 2)

### Miscellaneous

- __[Hedge Fund Surge](https://www.hedgeweek.com/hedge-fund-launches-surge-in-q1-as-industry-assets-hit-record-level/)__: In 2024, new hedge fund launches surged and liquidations remained steady, pushing industry assets to a record $4.3tn due to increased geopolitical risk, according to the HFR Market Microstructure Report. (2024-07-01, shares: 2)
- __[Odey's £37m Loss](https://www.hedgeweek.com/crispin-odey-discloses-37m-financial-blow/)__: Odey Asset Management, owned by Crispin Odey, reported a £37.1m goodwill impairment following its closure, as per a Bloomberg report. (2024-06-28, shares: 2)
- __[European Digital Summit](https://www.hedgeweek.com/live-today-european-digital-assets-summit/)__: Hedgeweek's European Digital Assets Summit is a one-day event focusing on the development of digital asset strategies for European hedge fund operational and product specialists. (2024-06-27, shares: 2)
- __[Pershing Square IPO](https://www.hedgeweek.com/pershing-square-to-sell-shares-at-50-in-upcoming-new-york-ipo/)__: Pershing Square, a hedge fund led by Bill Ackman, plans to sell shares at $50 each in its upcoming New York IPO, with the listing date still unconfirmed, as per a BayStreet report. (2024-07-01, shares: 2)
- __[Baupost Cuts Team](https://www.hedgeweek.com/baupost-hedge-fund-cuts-investing-team-by-nearly-20/)__: Baupost Group, led by Seth Klarman, has reduced about 19% of its investing staff in a major restructuring, marking the largest staff cut in the hedge fund's 42-year history, according to Bloomberg. (2024-07-01, shares: 2)
- __[Abu Dhabi Office Shortage](https://www.hedgeweek.com/abu-dhabi-faces-office-shortage-amid-hedge-fund-popularity/)__: Abu Dhabi's Al Maryah Island is facing an office space shortage due to the successful attraction of top hedge funds. (2024-07-02, shares: 2)
- __[IRS Apologizes to Ken Griffin](https://www.hedgeweek.com/irs-apologises-to-citadels-ken-griffin-over-tax-return-leak/)__: The IRS has apologized to Citadel founder Ken Griffin for the unauthorized release of his tax returns. (2024-06-28, shares: 1)
- __[Citadel and Millennium Gain](https://www.hedgeweek.com/citadel-and-millennium-post-strong-h1-gains/)__: Citadel and Millennium, two hedge fund giants, have reported strong gains in the first half of the year. (2024-07-02, shares: 1)
- __[Citi Accused of AI Attempt](https://www.efinancialcareers.com/news/citi-stands-accused-of-attempting-to-implement-ai-on-the-back-of-excel-spreadsheets)__: Job opportunities are being created within Citi due to its disorganized data. (2024-06-27, shares: 1)
- __[Hedgeweek Global Digital Assets Awards 2024 Winners](https://www.hedgeweek.com/hedgeweek-announces-winners-of-global-digital-assets-awards-2024/)__: Hedgeweek has announced the winners of the Global Digital Assets Awards 2024, recognizing excellence in digital assets. (2024-06-27, shares: 0)

## Podcasts

### Quantitative

- __[Investigative Finance](https://traffic.megaphone.fm/TIFM8914027905.mp3?updated=1719508843)__: Financial journalist Herb Greenberg talks about market evolution, his investigations into financial frauds like Herbalife, and his new online investment media platform, Wall Street Beats. (2024-06-28, shares: 10)
- __[Global FX Outlook](https://atanyrate.podbean.com/e/global-fx-fx-volatility-bumpy-but-capped-in-h2/)__: In a podcast, Arindam Sandilya, Lorenzo Ravagli, Ladislav Jankovic, and Juan Duran-Vara discuss the H2 outlook for FX Derivatives. (2024-06-28, shares: 9)
- __[Backtesting AI Trading](https://rss.com/podcasts/confessionsmm/1541297)__: Dave Mabe, CTO at Trade Ideas and a successful independent trader, is featured on the Confessions of a Market Maker podcast. (2024-06-27, shares: 6)
- __[French Election UK Update](https://atanyrate.podbean.com/e/global-rates-economics-state-of-play-after-the-first-round-of-the-french-election-uk-election-update/)__: Strategists Francis Diamond, Raphael Brun-Aguerre, and Aditya Chordia discuss the implications of the first round of voting in the French elections on French spreads and European fixed income markets. (2024-07-02, shares: 6)
- __[Stablecoin Growth Treasury Market](https://atanyrate.podbean.com/e/us-rates-stablecoins-are-gaining-ground/)__: Teresa Ho and Pankaj Vohra, Short Duration strategists, discuss the growth of the stablecoin market and its potential impact on the Treasury market. (2024-06-27, shares: 5)

### Related

- __[Global FX Themes](https://atanyrate.podbean.com/e/global-fx-strong-dollar-and-other-macro-fx-themes-in-2h/)__: In a podcast recorded on 28 June 2024, Meera Chandan, Arindam Sandilya, Junya Tanase, Antonin Delair, James Nelligan, and Patrick Locke discuss the key macro FX themes for the second half of the year. (2024-06-28, shares: 5)
- __[Elections](https://audioboom.com/posts/8530576)__: Ben Bennett discusses navigating election uncertainty, concentration risk, and the effects of growing deficits on global productivity in a podcast hosted by Frances Watson. (2024-06-27, shares: 4)
- __[Michael Sonenscher](https://traffic.megaphone.fm/NBNK8108489363.mp3?updated=1719683891)__: Michael Sonenscher's book Capitalism: The Story Behind the Word delves into the history and evolution of capitalism, with a focus on public debt, war finance, and labor division. (2024-06-30, shares: 4)
- __[MacroVoices Market Mayhem](https://macrovoices.podbean.com/e/macrovoices-434-bill-blain-will-higher-for-longer-lead-to-market-mayhem/)__: Erik Townsend and Patrick Ceresna of MacroVoices host WindShift Capital Founder Bill Blain to discuss the equity market, inflation, and bond yields. (2024-06-27, shares: 4)
- __[Largecap Investing](https://chrt.fm/track/F81DEC/traffic.megaphone.fm/GLD1033884949.mp3?updated=1719513703)__: Kathleen McCarragher discusses her investment experiences, views on AI and growth opportunities, and advice on team building and leadership in a conversation with Goldman Sachs’ Betsy Gorton. (2024-06-28, shares: 4)

## Blogs

### Quantitative

- __[STC Indicator Strategy](https://www.quantifiedstrategies.com/schaff-trend-cycle-indicator/)__: The Schaff Trend is a trading tool that offers day traders superior tracking of market fluctuations and price trends. (2024-07-02, shares: 2)
- __[Election Surprises](https://rajivsethi.substack.com/p/uncharted-waters)__: Prediction market traders have been contemplating the chance of a different candidate winning the November election, aside from Joe Biden or Donald Trump. (2024-07-02, shares: 0)
- __[Distant Drums](https://wilmott.com/distant-drums/)__: The author, a Physics and Applied Maths major at UCT, shares their increasing realization of opportunities for further study in England and America during their third year. (2024-07-01, shares: 0)

### Related

- __[Last Troubadour](https://wilmott.com/distant-drums/)__: The author shares their experience studying Physics and Applied Maths at UCT, which sparked their interest in pursuing further studies abroad. (2024-07-01, shares: 0)
- __[Debate Impact](https://rajivsethi.substack.com/p/predicting-an-election)__: The first presidential debate has reportedly shaped public opinion about the potential results of the upcoming November election and the Democratic National Convention. (2024-06-30, shares: 0)
- __[Differences in Market](https://stockviz.substack.com/p/always-replicate)__: The author stresses the uniqueness of each market and urges readers to conduct their own research. (2024-06-29, shares: 0)