Running a small business and building wealth through compounding. I talk about startups, finance, investing, travel.harbourfrontquant.substack.com/subscribe KingstonJoined October 2023
Does Regression Still Work in Modern Markets?
These studies suggest that simple regression techniques, whether linear or logistic, remain useful tools for systematic trading even in the modern era. Despite the rapid growth of machine learning and AI, … ift.tt/IZlJBDM
Does Regression Still Work in Modern Markets?
These studies suggest that simple regression techniques, whether linear or logistic, remain useful tools for systematic trading even in the modern era. Despite the rapid growth of machine learning and AI, relatively straightforward…
Volatility Derivatives and VIX Market Dynamics
These studies highlight the evolving dynamics of volatility markets and the growing importance of VIX derivatives and ETPs in price discovery and market behavior. The evidence suggests that lead-lag relat… ift.tt/vVBwPp1
Volatility Derivatives and VIX Market Dynamics
These studies highlight the evolving dynamics of volatility markets and the growing importance of VIX derivatives and ETPs in price discovery and market behavior. The evidence suggests that lead-lag relationships between the VIX a…
Network Effects in Social Media Sentiment ift.tt/qXRj2Ye
Social media sentiment has become increasingly important in modern portfolio and risk management. Most studies on social media rely on aggregate sentiment measures, such as average bullishness scores or overall …
Multifractal Analysis of Herding and Inefficiency in Precious Metals ift.tt/uEqGT0a
Gold and silver have been strong recently, with upward trends and increased volatility. Reference [1] studies the price dynamics of leading precious metals, gold, silver, platinum, and…
Delta Hedging Performance Under Different Measures ift.tt/APLVIsl
Managing an option book is not trivial. There is considerable research on hedging errors, optimal hedging frequency, and the choice of volatility inputs used in hedging algorithms. Reference [1] continu…
Overnight vs Daytime Returns in Sector ETFs
The results show that overnight returns exhibit a persistent positive drift, while daytime returns are significantly weaker, and the best-performing strategies are those that maintain long exposure overnight… ift.tt/uegdAjl
Overnight vs Daytime Returns in Sector ETFs
The results show that overnight returns exhibit a persistent positive drift, while daytime returns are significantly weaker, and the best-performing strategies are those that maintain long exposure overnight. A simple overnight-only …
Volatility Risk Premium Dynamics Through the Heston Framework ift.tt/a3k8HiN
A significant amount of research has been conducted on the volatility risk premium (VRP). Reference [1] contributes to this literature by linking the VRP to the parameters of the Heston model…
Why Backtests Decay: Regime Dependence and Crowding ift.tt/3qBde4M
Backtesting is an essential part of quantitative strategy development, and naturally, strategies are often selected based on strong backtest performance. However, an important question when evaluating …
Volatility Risk Premium and Clustering: Intraday vs Overnight Dynamics
These studies show that volatility dynamics differ significantly between intraday and overnight periods, both in terms of risk pricing and clustering behavior. The variance risk pr… ift.tt/8WnkX5I
Volatility Risk Premium and Clustering: Intraday vs Overnight Dynamics
These studies show that volatility dynamics differ significantly between intraday and overnight periods, both in terms of risk pricing and clustering behavior. The variance risk premium is largely driven by…
Evaluating Option-Based Strategies and Dollar-Cost Averaging
Two strands of research on investment strategies are discussed.
The first revisits option-based strategies and shows that simple passive approaches no longer deliver attractive risk-adjus… ift.tt/LmMxuSq
Evaluating Option-Based Strategies and Dollar-Cost Averaging
Two strands of research on investment strategies are discussed.
The first revisits option-based strategies and shows that simple passive approaches no longer deliver attractive risk-adjusted returns, although more …
Machine Learning for Derivative Pricing and Crash Prediction
These studies illustrate the expanding role of machine learning in modern quantitative finance. One line of research demonstrates how machine learning models can dramatically accelerate the … ift.tt/uGwEyoL
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