---
title: USIndia Tariffs Trade Impact
url: https://www.ml-quant.com/papers/ssrn/5155287/
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
identifier: SSRN 5155287
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5155287
featured: 2025-03-20
citations: unknown
topic: Other
---


# USIndia Tariffs Trade Impact

President Trump's reciprocal tariffs policy could disrupt India's export sectors, increase consumer costs, and affect financial markets, potentially harming US-India trade relations.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5155287
- Identifier: SSRN 5155287
- Released: 2025-02-26
- First featured: Quant Letter No. 89 (2025-03-20): https://www.ml-quant.com/issues/2025-03-20/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Other

## Related

- [Retaliative Trade Wars: Theory & Evidence](https://www.ml-quant.com/papers/ssrn/5199034/): Theory & Evidence: The study examines the effects of persistent bilateral trade deficits on economic indicators and simulates the impact of import tariffs on trade flows, providing insights for trade economics and policy.
- [Brewing Discontent: How U.S. Reciprocal Tariffs on Coffee Could Echo the Boston Tea Party](https://www.ml-quant.com/papers/arxiv/2504.02915/): A study suggests that the proposed U.S. Discounted Reciprocal Tariff could shift import demand and increase coffee prices for consumers.
- [Depth Anything V2](https://www.ml-quant.com/papers/arxiv/2406.09414/): Depth Anything V2 is a new model for monocular depth estimation, using synthetic and large-scale pseudo-labeled real images for faster, more accurate results and setting a new evaluation benchmark.
- [MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark](https://www.ml-quant.com/papers/arxiv/2406.01574/): MMLU-Pro, an improved dataset, expands the Massive Multitask Language Understanding benchmark by adding tougher questions and more choices, serving as a better benchmark to monitor progress in the field.
- [Qwen2.5-Coder Technical Report](https://www.ml-quant.com/papers/arxiv/2409.12186/): The report unveils the Qwen2.5-Coder series, an improvement from its predecessor, showcasing remarkable code generation abilities and achieving top-tier performance in various code-related tasks.
- [Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives](https://www.ml-quant.com/papers/arxiv/2311.18259/): Understanding Human Activity: The paper presents Ego-Exo4D, a large-scale video dataset and benchmark challenge featuring human activities from various perspectives, aimed at improving first-person video understanding.