The hottest Economic Research Substack posts right now

And their main takeaways
Category
Top Finance Topics

AI and Economics Links

In My Tribe • 243 implied HN points • 07 Jan 26
🕹 Technology Economic Research
  1. AI systems like large language models are deeply shaped by human behavior and social complexity. Using social-science ideas such as complexity theory can help us understand and improve these systems.
  2. AI can recreate historical thinkers to replay debates about technology and work. These recreations highlight disagreements over whether automation causes lasting unemployment or just temporary disruption through creative destruction.
  3. LLMs now let researchers draft and sometimes publish papers far faster than before, enabling quick 'vibe researching' from idea to paper in minutes or hours. This shifts how research is done and raises questions about quality, oversight, and the role of human judgment.

Semicap Stock Idea

Mule’s Musings • 102 implied HN points • 16 Jun 25
💰 Finance Economic Research
  1. The article presents a stock idea related to semiconductors, a key industry for technology. Semiconductors are essential for a lot of modern devices, making them an important investment area.
  2. It's aimed at paid subscribers, which suggests that the insights may be more detailed or exclusive. Paid content often provides deeper analysis that can help investors make better decisions.
  3. Investing in the semiconductor sector may be beneficial due to its growing importance in the tech world. Understanding trends in this field can help guide smart investment choices.

Quant Letter: June 2025, Week-1

The Parlour • 21 implied HN points • 04 Jun 25
💰 Finance Economic Research
  1. New methods are being developed to test asset pricing anomalies, showing that different paths on the same dataset can lead to similar outcomes. This means we need to be cautious about our assumptions in finance.
  2. Deep reinforcement learning is being used to improve risk management in life insurance. This method helps in making better decisions about profits and losses related to different risk factors.
  3. Large language models struggle with accuracy in specialized fields due to lack of specific training data. To improve their performance, fine-tuning techniques are essential.

Quant Letter: November 2024, Week-4

The Parlour • 21 implied HN points • 27 Nov 24
💰 Finance Economic Research
  1. Quanto options pricing can be improved using a mix of models that handle various aspects of finance and asset behavior. This could help in more accurate predictions and simulations.
  2. Hedge funds adapt their activist strategies to align with the preferences of major investors, leading to better results when trying to influence company decisions. This emphasizes the importance of understanding stakeholder interests.
  3. Simple machine learning models can sometimes outperform more complex ones when it comes to predicting financial markets. This shows that less can be more in data analysis.

Remember, remember…

Klement on Investing • 3 implied HN points • 05 Nov 24
💰 Finance Economic Research
  1. Our memories, especially specific experiences with the stock market, have a strong influence on how we decide to invest. Remembering good experiences can make us more willing to invest, while bad memories usually make us hold back.
  2. People who have personal memories about investing often ignore expert opinions because they trust their own experiences. In contrast, those without such memories are more likely to listen to experts and follow their advice.
  3. It’s important for investors to be aware of their biases from past experiences. Having a clear investment process can help avoid these mental shortcuts and lead to better decision-making.
Get a weekly roundup of the best Substack posts, by hacker news affinity: