Dynamic Delta Hedging with Confidence-Weighted Signals

Posted on January 26, 2026 By Harbourfront Technologies

Delta hedging is a critical component of option portfolio management. In the research literature, most studies assume strict delta hedging, where portfolio delta is maintained at zero. Reference relaxes this restriction by introducing a partial delta hedging technique that conditions the hedge ratio on the confidence of the underlying’s …

Modeling High-Frequency Volatility with Volume-Driven Intraday Effects

Posted on January 22, 2026 By Harbourfront Technologies

Modeling and forecasting volatility is critically important for portfolio construction and risk management. Numerous volatility models exist, and one established line of research incorporates trading volume, motivated by the idea that volume reflects the rate of information flow into prices and is therefore positively related to volatility. Reference extends …

Delta Hedging Under Fractional Brownian Motion

Posted on January 18, 2026 By Harbourfront Technologies

The Black–Scholes–Merton (BSM) model is the most frequently used option pricing framework in finance. However, it relies on simplifying assumptions, some of which are not realistic. Ongoing efforts aim to extend and generalize the BSM model, and Reference represents a recent contribution in this direction. The paper proposes an …

When More Information Hurts: Social Media and Investor Underperformance

Posted on January 14, 2026 By Harbourfront Technologies

In today’s digital era, social media is ubiquitous, and market participants are exposed to an unprecedented volume of financial information. While investors are arguably more informed, it remains an open question whether this translates into better and more disciplined decision-making. A recent incident illustrates this concern: a group of online …

Multifractality and Market Efficiency Across Asset Classes

Posted on January 10, 2026 By Harbourfront Technologies

The Fractal Market Hypothesis (FMH) is increasingly studied and applied by both finance academics and practitioners. We previously discussed the use of Detrended Fluctuation Analysis to estimate the Hurst exponent for major cryptocurrencies. Continuing this line of research, Reference applies Multifractal Detrended Fluctuation Analysis (MFDFA) to examine cryptocurrency, commodity, …

Incorporating Momentum into Option Pricing Models

Posted on January 6, 2026 By Harbourfront Technologies

The Black–Scholes–Merton (BSM) model is a cornerstone of derivative pricing; however, it is not without limitations, and researchers continue to extend it. Reference proposes an extension by incorporating intraday momentum into the BSM framework. This is achieved by introducing a drift term that represents intraday momentum, measured using a …

Quantifying Recency Bias in Investor Volatility Expectations

Posted on January 2, 2026 By Harbourfront Technologies

Investors and traders often suffer from behavioral biases, which is where behavioral finance originates. Among these biases, recency bias is probably the most detrimental, yet it has infrequently been studied in a comprehensive, quantitative manner. Reference addresses this gap by investigating recency bias in stocks with high idiosyncratic volatility …

Forecasting Market Crashes with Machine Learning Techniques

Posted on December 29, 2025 By Harbourfront Technologies

Predicting market direction is challenging, and forecasting market crashes is even more difficult, yet this remains a growing area of research. We previously discussed market correction prediction, and Reference continues this line of inquiry by examining how machine learning can be used to predict market crashes within the Adaptive …

Delta Hedging with Implied vs. Historical Volatility, Part 2

Posted on December 25, 2025 By Harbourfront Technologies

Hedging is an important topic in portfolio and risk management; however, relatively little research has been conducted in this area. Many questions remain open, such as when to hedge, how frequently to hedge, and which volatility measure should be used in hedging decisions. We have previously discussed whether hedging should …

Toward Rigorous Validation of Data-Driven Trading Strategies

Posted on December 21, 2025 By Harbourfront Technologies

With the rapid advancement in computing power, quantitative researchers can now develop trading strategies quickly, employing multiple variables and methodologies. These approaches extend beyond traditional time-series and statistical models to include machine learning and AI-based techniques. However, such models often deliver impressive in-sample results but fail in live trading, largely …