Volatility effect

Commodity markets are in the spotlight. Two factors currently stand out. Firstly, the geopolitical tensions, as ongoing instability in the Middle East continues to create uncertainty in energy markets, particularly on the supply side. Secondly, less discussed are climate conditions as the El Niño–Southern Oscillation (ENSO) is a recurring climate cycle that affects temperature and precipitation patterns globally and has historically influenced agricultural yields and supply dynamics.

Together, these forces create a plausible environment for stronger commodity performance, or at least increased dispersion across individual commodities. Instead of expressing this view through a simple buy-and-hold allocation, we approach the problem as a systematic portfolio construction task.

Recent market action has once again underscored how rapidly volatility can surface across asset classes, as evidenced by pronounced price swings in gold, silver, and cryptocurrency markets. Such episodes routinely revive debate within the quantitative community about structural drivers of intraday instability, with particular attention paid to the growing prominence of S&P 500 zero-days-to-expiration (0DTE) options. The rapid proliferation of these ultra-short-dated contracts has fueled concerns among practitioners, regulators, and exchange operators that concentrated option activity may transmit destabilizing hedging flows into the cash equity market. At the same time, the paper under review challenges this prevailing spillover hypothesis, suggesting that the availability of 0DTE options systematically alters market-makers’ hedging exposures in a way that may dampen, rather than amplify, realized index volatility. So, do 0DTE options truly increase market volatility?

Over the past seven decades, U.S. equity-market volatility has roughly doubled—from about 10% to 20%—and this increase is concentrated at the market level and at high frequencies (daily volatility up by ~130%, weekly by ~75%, monthly by ~40%). A new paper by Lars Lochstoer and Tyler Muir argues that this structural change is not driven by macroeconomic fundamentals or firm-level shocks but by the dramatic growth of index-level trading (futures, ETFs, index mutual funds, and extended trading hours). Using statistical investigations—the 1997 introduction of E‑mini S&P 500 futures and historical NYSE trading‑hour changes—the authors provide causal evidence that easier and larger trading of the market portfolio has raised aggregate volatility through higher trading volume and a shift toward systematic demand shocks.

Extreme market events, once perceived as statistical outliers, have become a central concern for investors. The persistence of sharp drawdowns and volatility spikes demonstrates that the cost of ignoring tail risks is not tolerable for long-term portfolio resilience. While diversification can mitigate ordinary fluctuations, it often fails when markets move in unison under stress. This makes explicit protection against severe downside events not just desirable but necessary. Tail hedging addresses this need by providing a structured defense against the most damaging scenarios, ensuring that portfolios remain robust when traditional risk management tools fall short. Using VIXY ETF, we will present and test a range of hedging strategies designed to protect portfolios under stress. By applying robust testing frameworks, we aim to evaluate how different implementations of VIXY ETF-based tail hedges perform across a variety of market environments, highlighting both their strengths and inherent trade-offs.

Leveraged ETFs (such as SPXL – (Direxion Daily S&P 500 Bull 3X Shares) offer amplified exposure to the S&P 500, promising high returns but exposing investors to volatility drag caused by daily rebalancing. This effect can significantly erode performance over longer horizons, particularly during periods of elevated market volatility. Inspired by recent research, The Volatility Edge, A Dual Approach For VIX ETNs Trading, focused on volatility-linked ETNs, we propose a volatility filter that adjusts ETF exposure based on the relationship between short-term realized volatility and implied volatility. By reducing exposure in high-volatility periods and maintaining it in calmer markets, this approach aims to harness leverage effectively while mitigating the most damaging drawdowns.

The low-risk anomaly in financial markets has puzzled researchers and investors, challenging the traditional risk-return paradigm (higher risk->higher return). This phenomenon, where low-risk assets outperform their high-risk counterparts on a risk-adjusted basis, has been observed across various asset classes, including stocks and mutual funds. What may be the possible explanation? Pass-through mutual funds, which aim to replicate the performance of specific market indices, play a crucial role in this context by channeling investor flows and potentially influencing asset prices through demand pressure.