Open-Source Financial Language Model
FinGPT developed for finance sector language model
458 shares492 citations todaySource ↗
Quant LetterNo. 4
105 items across 11 sections, as sent to readers on 14 June 2023. Paper titles open their ML-Quant page; ↗ goes to the source.
Quantitative-finance and ML-for-finance preprints from arXiv.
15 items
FinGPT developed for finance sector language model
458 shares492 citations todaySource ↗
Triplet loss used to identify distinct market order behavior types
7 shares1 citation todaySource ↗
Reinforcement learning and barrier functions used in portfolio management framework
5 shares1 citation todaySource ↗
A 4-factor model is better at predicting electricity spot prices in non-crisis times, but not during crises.
3 shares4 citations todaySource ↗
A new investment strategy model has been developed and tested on a dataset.
3 sharesSource ↗
Two simulation methods have been developed to compute option prices numerically.
2 shares4 citations todaySource ↗
A deep learning method outperforms other approaches in estimating filltimes of limit orders.
2 shares28 citations todaySource ↗
MACE algorithm optimizes portfolio weights for predictability and profitability in stock returns.
7 shares5 citations todaySource ↗
Study examines how risk and budget limits affect bidding strategy in corporate bond auctions.
4 sharesSource ↗
Ranked-choice voting with a truncation level of at least three rarely affects the election winner.
2 shares5 citations todaySource ↗
Banks' refusal to roll over short-term interbank liabilities can compromise the efficiency of the interbank market and reduce the effectiveness of conventional monetary policies.
2 shares5 citations todaySource ↗
Reinforcement learning agents in stock trading need to follow laws and regulations, experiments show how to shape their behavior.
17 shares9 citations todaySource ↗
A Narrative Study: A study has been conducted to examine the correlation between narratives on Twitter and the value of cryptocurrency. The study used topic modelling and sentiment analysis to identify 4-5 cryptocurrency-related narratives and their impact on crypto prices.
11 shares2 citations todaySource ↗
A risk factor budgeting portfolio allocation method using NMF outperforms classical methods for diversification in cryptocurrency and traditional asset portfolios.
53 shares1 citation todaySource ↗
Shareholders who are closely-connected individuals support costly prosocial changes, while financial corporations oppose them, with distributional costs for pursuing shareholder values.
28 shares1 citation todaySource ↗
Working papers in finance and economics from SSRN.
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Proposing a method for hedging portfolio risk using network analysis of fund holdings.
68 sharesSource ↗
Analyzing daily risk-adjusted excess performance of active Equity ETFs in Korean market.
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Proposing a portfolio allocation method based on risk factor budgeting using convex Nonnegative Matrix Factorization.
2 shares1 citation todaySource ↗
Examining diversification of bonds on Banja Luka Stock Exchange using Markowitz's portfolio selection.
2 sharesSource ↗
A new deep factor model for crop yield forecasting and crop insurance ratemaking has been proposed, which utilizes a deep autoencoder and deep learning model to enhance the modeling of the production index and the reconstruction of crop yields.
2 sharesSource ↗
Firms with high exposure to sovereign debt have increased comovement with the market during disasters.
842 sharesSource ↗
Non-myopic agents benefit from hedging against shocks even with zero transaction costs.
98 sharesSource ↗
A study shows significant mispricing in the options market related to risk-neutral moments and liquidity.
2 sharesSource ↗
Opportunities & Risks: A paper examines relative value and opportunities in gamma trades in equity options markets.
2 sharesSource ↗
Dispersion trade strategy improves risk return profile in equity options markets.
2 sharesSource ↗
Economics working papers from RePEc's NEP field reports.
25 items
The paper discusses how HFT strategies impact market dynamics and statistical modeling approaches for analyzing HFT data.
41 sharesSource ↗
A new measure of the OVRP called UOVRP is proposed, which predicts most international stock market volatility in-sample and outperforms other predictors.
26 sharesSource ↗
The paper investigates the dynamic correlation and dependence structure between the US-dollar carry trade and equity markets in the BRICS economies during regular and crisis periods.
22 sharesSource ↗
The study uses the MGARCH-BEKK model and DY volatility spillover index to examine volatility spillovers among BRICS countries' stock markets, finding Brazil is the highest net volatility transmitter and China is the highest net volatility receiver.
22 sharesSource ↗
Paper explores optimal trading strategies using Heston stochastic volatility framework and jump processes.
21 sharesSource ↗
Study finds that Technical Analysis indicators can predict noble metals price movements and outperform the market in two out of three cases.
21 sharesSource ↗
Paper examines volatility transmission in forex market using high-frequency data for five exchange rates.
19 sharesSource ↗
Study investigates role of macroeconomic and technical indicators in forecasting Bitcoin volatility, finding shrinkage methods can extract predictive information from both types of indicators.
18 sharesSource ↗
Machine learning used to forecast and trade Bitcoin, with gradient boosting framework providing best performance and hybrid leverage strategy providing highest profits.
31 sharesSource ↗
Machine learning used to build new insolvency risk rating metric for Brazilian banks, with bank sentiment improving accuracy of prediction models.
27 sharesSource ↗
Machine learning used to predict individual employment status in Italy using survey data and administrative sources.
23 sharesSource ↗
Machine learning models show capital is a stronger predictor of bank default than liquidity and Basel III requirements are too low.
21 sharesSource ↗
Continual learning proposed as solution to catastrophic forgetting in quantum machine learning.
20 sharesSource ↗
Neural network with selective interpretability introduced for credit risk assessment, shallow model leads to better accuracy for specific data portions.
19 sharesSource ↗
Study explores using machine learning and sentiment analysis to forecast foreign exchange rates and commodity prices.
31 sharesSource ↗
Machine learning used to examine predictability of equity returns in European stock market, finding linear methods perform better.
25 sharesSource ↗
Overview and Research: Chapter provides overview of equity trading and discusses promising new areas for research, including machine learning for analysis of high-dimensional data.
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Efficacy of trend-based technical indicators in predicting cryptocurrency market returns examined, finding machine learning can significantly improve performance.
16 sharesSource ↗
The article examines the current state of quantitative finance research through bibliometric analysis, highlighting important research and emerging topics like deep learning and quantitative trading.
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Deep reinforcement learning applied to trading on financial markets is discussed, including common structures, issues, and limitations of such approaches, as well as state representations critical for success and efficiency.
23 sharesSource ↗
Aid for Trade flows have a negative influence on real exchange rate volatility in recipient countries, with a greater effect on non-LDCs than LDCs.
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Explainability methods in machine learning models are discussed, with a focus on human-in-the-loop approaches to enhance and evaluate explanations.
23 sharesSource ↗
Exchange rate volatility affects Turkey's exports to major partners, with impacts varying by country and commodity, and affecting exports in opposite directions in the short and long run.
27 sharesSource ↗
Investor sentiment affects bank lending and financial stability, especially for banks with higher credit risk.
11 sharesSource ↗
Cryptocurrencies are linked to specific Google Trends attention measures, but not a general uncertainty index.
5 sharesSource ↗
Papers that shipped their code, from the Papers with Code feed (2023-25).
8 items
GitHub survey explores use of word embedding techniques on programs and source code.
244 shares
GitHub releases dataset, benchmarks, and model for instruction-response collection.
1,495 shares
GitHub code improves speech enhancement using multiframe algorithms.
1,017 shares
Centralized teams rarely update machine learning models.
114 shares
Pretrained models improve language understanding.
100 shares
Large language models can be difficult to teach.
80 shares
Repositories the letter featured.
9 items
Audio Deep Learning: Audiocraft library for audio processing with deep learning.
4,296 shares
Pymc-Resources -> Pymc-Resources: PyMC provides educational resources.
1,751 shares
OpenChat -> OpenChat: LLMs has a custom-chatbots console.
2,873 shares
Tree-of-Thought-LLM -> Tree-of-Thought-LLM: The Tree of Thoughts problem solving method now has an official implementation.
1,885 shares
Eventual -> Eventual: Learn how to build micro-services using APIs, messaging, and workflows.
119 shares
Industry news: funds, hiring, markets and regulation.
6 items
Does bigger electronic trading teams mean better results?
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Hal Mintz and Sabby Management accused of not finding borrowers for short sales.
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Seeking Alpha suggests generative AI can boost sleeper stock picks' profitability.
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Alex Soros plans to expand his father's liberal goals, focusing on voting and rights.
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Episodes on markets, quant methods and economics.
10 items
Terrence Brogan talks about his family's legacy in finance and his own approach to money flow analysis.
13 shares
Chris Brightman shares insights on smart investing and smart beta strategies.
13 shares
Dr Jörg Kienitz talks about the role of Open Source Software in his recent paper and the importance of C in the QuantSpeak podcast.
6 shares
Graham Secker discusses the outlook for European equities in the second half of the year.
6 shares
Pain and Gain: European equities may continue to underperform due to a loss of momentum in the European economy and a rally in growth stocks globally.
6 shares
AQR Capital Management's Michele Aghassi talks about unintended bets in portfolio construction.
5 shares
Morgan Stanley's Mike Wilson discusses the end of the bear market rally and the concentrated markets.
4 shares
Fourteen Research's Warren Pies shares insights on market data analysis, including inflationary pressures and mega cap divergence.
4 shares
Andromeda Capital Management's Alberto Gallo talks about creating an edge in investing and finding value in European markets.
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The podcast series offers valuable insights on macroeconomics and markets with fresh perspectives.
4 shares
Posts from quant and economics blogs and newsletters.
7 items
Trading strategies in quantitative finance require balancing models, market dynamics, and data.
10 shares
Newcomers to quantitative finance face the cold-start problem in strategy development.
9 shares
Machine Learning Power: Article 3: MLFinlab v2.0.0 has been launched with improvements to enhance functionality and usability.
7 shares
Talks, lectures and tutorials.
1 items
Math students lack knowledge of quantitative finance due to job market and conflicts.
32 shares
Posts from quant researchers on X.
5 items
Combining carry and skewness signals improves portfolio performance.
3 shares
Variational Encoding used to create stock volatility surfaces.
2 shares
Dissertation on high frequency trading and market microstructure.
2 shares
Threads from r/quant, r/algotrading and friends.
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