2026· EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA· Vol 7/4, pp. 179-185· 0 citations
Abstract
This paper investigates the dynamics of the implied volatility surface (IVS) and its term structure as a foundation for constructing profitable trading strategies in the options market. Contrary to the classical assumption of constant volatility in the Black–Scholes model, empirical evidence demonstrates that implied volatility systematically varies with strike price and time to expiration, thereby forming a three-dimensional surface. The study provides a comparative analysis of two key dimensions of the IVS – the term structure and the strike structure (skew) – with a particular focus on the phenomenon of volatility time shift. Based on econometric modelling employing the Nelson–Siegel factorization and principal component analysis, we propose a system of trading signals for calendar spreads, skew arbitrage, and dynamic hedging. The empirical dataset comprises options on the 500 index (SPX) over the period 2020–2025. The results indicate that incorporating the temporal dynamics of the IVS improves the risk-adjusted returns of trading strategies by 15–22% relative to strategies that rely solely on level information.
: Options have become indispensable instruments for both risk management and speculation, with volatility serving as a fundamental input in pricing structures. While Historical Volatility (HV) relies on past returns, it is inherently backward-looking and fails to reflect forward-looking market expectations, investor se...
Guangsirui Zhai· Proceedings of the 1st Inter...· 0 citations
: This study expands the Black – Scholes option pricing model by assuming volatility is deterministically evolving over time. The traditional formulation assumes constant volatility, which is inconsistent with empirical studies showing predictable changes during periods of market uncertainty (e.g., macro announcements,...
Can Liu· Proceedings of the 1st Inter...· 0 citations
Commodity option surfaces contain information beyond the at-the-money volatility level. We develop a surface-driven stochastic-volatility framework for soybean futures options using daily Chicago Mercantile Exchange Group Volatility Index (CME CVOL) indicators from October 2013 to August 2025. The ATM level and convexi...
Arthur Steve Tchoneteck, Ting-Jia Zhang, F. Viens· 0 citations
Stock market volatility is of continuing interest to investors, portfolio managers, corporates and policymakers because it directly influences risk assessment, asset pricing and capital allocation decisions. This paper examines the return-generating and volatility process of the Bombay Stock Exchange Sensitive Index (B...
C. Parmar, Sandip Raithathatha, Kashish Jayesh Ramani et al.· International Research Journ...· 0 citations
The purpose of this study is to examine the dynamics of S&P 500 index volatility using daily data from January 1, 2020, to November 1, 2025. The analysis focuses on volatility persistence, clustering behavior, and the effects of the EUR/USD exchange rate and WTI crude oil prices on the stock market. For this purpose, d...
Süreyya Temelli· International Journal of Man...· 0 citations
: This paper develops a comprehensive theoretical framework for option pricing in dynamic markets characterized by volatility fluctuations, regime changes, and risk sensitivities (Greeks). While the Black – Scholes model assumes constant volatility, real markets exhibit volatility smiles, skews, jumps, and distinct reg...
Cheng-Ze Song· Proceedings of the 1st Inter...· 0 citations
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