Category: TRADING

Applying Prospect Theory to Crypto Valuation and Portfolio Diversification

As cryptocurrencies become mainstream and gain acceptance, there is still no coherent investment framework for valuing them. Reference explores the differences between equity and crypto investors and proposes an investment framework for cryptocurrencies based on the prospect theory. The differences between equity and crypto investors are: Stock market investors …

Formal Study of Overfitting in Trading System Design

Trading systems often experience performance deterioration after going live, largely due to overfitting. Reference formally studied this issue, using analytical approximations for the in-sample and out-of-sample Sharpe ratios of portfolios. The authors pointed out, This paper derives analytical approximations for the in-sample and out-of-sample Sharpe ratios of portfolios constructed …

Momentum in the Option Market, Part 4-Intraday Case

Momentum in the options market is an emerging and active area of research. For example, Reference demonstrated that delta-hedged straddle positions exhibit momentum, where firms with strong option performance over the past 6 to 36 months are likely to experience high option returns in the subsequent month. Reference  …

Reexamining the Performance of Passive Options Strategies

More than 40 years ago, Merton et al. published two papers examining the performance of passive options strategies. They concluded that these strategies outperformed the traditional buy-and-hold approach. At the time of their studies, options data was not widely available, so they used historical volatility to calculate options prices. …

Is the Put-Call Ratio a Reliable Indicator?

The put-call ratio (PCR) is a popular indicator used in financial markets to gauge investor sentiment. It is calculated by dividing the number of traded put options by the number of traded call options over a specific period. The put-call ratio is often promoted and utilized by market analysts for …

A Trading System Based on Polynomial Regression Models

Linear regression is a widely used prediction technique in finance. Linear regression can estimate the relationship between a dependent variable (such as stock price) and one or more independent variables (like market indices or economic indicators). This approach is particularly useful in predicting trends, asset prices, and risk factors. However, …