Multifractality and Its Underlying Drivers in Cryptocurrency Markets

Cryptocurrencies, like other financial time series, can be analyzed using traditional time series and econometric methods. However, they present additional challenges due to their distinctive characteristics, including extreme volatility, heavy-tailed distributions, and long-range temporal correlations, which warrant specialized examination. Reference analyzes the multifractality characteristics of major cryptocurrencies and investigates …

Improving Momentum Strategies with Machine Learning

Machine learning (ML) is increasingly prominent in modern finance and is being adopted across a wide range of applications. However, using ML to extract alpha remains nontrivial. Reference proposes a novel approach to improving the risk-adjusted returns of momentum strategies using machine learning. It employs three ML methods—linear regression, …

Dynamic Delta Hedging with Confidence-Weighted Signals

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

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

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 …

Multifractality and Market Efficiency Across Asset Classes

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

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 …