基于随机波动的期货套期保值新方法

IF 0.4 Q4 ECONOMICS
Moawia Alghalith, Christos Floros
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引用次数: 0

摘要

本文的目的是提出一个期货套期保值的连续时间动态模型。特别是,我们扩展了理论和实证文献(例如,Alghalith, 2016;Alghalith等,2015;Corsi et al., 2008)在几个重要方面。首先,我们提出了一个基于理论的模型。一个重要的经验贡献是,我们不需要基差风险或现货价格的数据。据我们所知,这是第一篇假设期货价格波动是随机的,从而估计期货价格波动率的波动率的论文。使用标准普尔500指数的每日期货数据,我们计算平均每日波动率以及期货价格波动率的波动率。我们建议期货市场的管理者除了报告传统波动率外,还应报告期货价格的随机波动率(及其波动率)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Futures hedging with stochastic volatility: a new method
The aim of this paper is to present a continuous-time dynamic model of futures hedging. In particular, we extend the theoretical and empirical literature (e.g., Alghalith, 2016; Alghalith et al., 2015; Corsi et al., 2008) in several important ways. First, we present a theory-based model. A significant empirical contribution is that we do not need data for the basis risk or the spot price. To the best of our knowledge, this is the first paper to assume that the volatility of futures price is stochastic and thus to estimate the volatility of volatility of futures price. Using daily futures data from the S&P500 index, we calculate an average daily volatility as well as the volatility of volatility of futures prices. We recommend that the managers of the futures market should report the stochastic volatility of the futures price (and its volatility), in addition to the traditional volatility.
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
26
期刊介绍: IJCEE explores the intersection of economics, econometrics and computation. It investigates the application of recent computational techniques to all branches of economic modelling, both theoretical and empirical. IJCEE aims at an international and multidisciplinary standing, promoting rigorous quantitative examination of relevant economic issues and policy analyses. The journal''s research areas include computational economic modelling, computational econometrics and statistics and simulation methods. It is an internationally competitive, peer-reviewed journal dedicated to stimulating discussion at the forefront of economic and econometric research. Topics covered include: -Computational Economics: Computational techniques applied to economic problems and policies, Agent-based modelling, Control and game theory, General equilibrium models, Optimisation methods, Economic dynamics, Software development and implementation, -Econometrics: Applied micro and macro econometrics, Monte Carlo simulation, Robustness and sensitivity analysis, Bayesian econometrics, Time series analysis and forecasting techniques, Operational research methods with applications to economics, Software development and implementation.
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