货币政策路径依赖时短期利率的仿射模型

IF 0.7 4区 经济学 Q4 BUSINESS, FINANCE
Haitham A. Al-Zoubi
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引用次数: 0

摘要

我提出了一个包含随机漂移的随机漫步的短期利率仿射模型。这一框架使我的模型能够捕捉货币当局在短期利率市场上的行为,允许轻微的偏差,同时对足以威胁生产的巨大偏差做出强烈反应。重要的是,我的模型有助于推导闭合形式的债券价格,从而为债券期权价格提供分析解决方案。我将我的模型与文献中的九个标准短期利率模型进行了比较。其中,五个是单因素模型,四个是多因素模型。值得注意的是,我的模型优于所有与之竞争的短期利率模型,包括波动率恒定弹性模型、随机均值模型和随机波动率模型。此外,它得出的利率预测与常见的期限结构先验一致,并超过了天真的随机漫步模型。此外,我的随机均值模型还能解释文献中记载的非跨期风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An affine model for short rates when monetary policy is path dependent

An affine model for short rates when monetary policy is path dependent

I propose an affine model of short rates that incorporates a random walk with stochastic drift. This framework enables my model to capture the behavior of monetary authorities in the short rate market, allowing for minor deviations while reacting strongly to deviations large enough to threaten production. Importantly, my model facilitates the derivation of closed-form bond prices, thereby providing an analytical solution for bond-option prices. I compare my model with nine standard short rate models found in the literature. Among these, five are single-factor models and four are multifactor models. Remarkably, my model outperforms all competing short rate models, including the constant elasticity of volatility, stochastic mean, and stochastic volatility models. Moreover, it yields interest rate forecasts consistent with common term structure priors and surpasses the performance of the naive random walk model. Additionally, my stochastic mean model can explain the unspanned risks documented in the literature.

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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
8
期刊介绍: The proliferation of derivative assets during the past two decades is unprecedented. With this growth in derivatives comes the need for financial institutions, institutional investors, and corporations to use sophisticated quantitative techniques to take full advantage of the spectrum of these new financial instruments. Academic research has significantly contributed to our understanding of derivative assets and markets. The growth of derivative asset markets has been accompanied by a commensurate growth in the volume of scientific research. The Review of Derivatives Research provides an international forum for researchers involved in the general areas of derivative assets. The Review publishes high-quality articles dealing with the pricing and hedging of derivative assets on any underlying asset (commodity, interest rate, currency, equity, real estate, traded or non-traded, etc.). Specific topics include but are not limited to: econometric analyses of derivative markets (efficiency, anomalies, performance, etc.) analysis of swap markets market microstructure and volatility issues regulatory and taxation issues credit risk new areas of applications such as corporate finance (capital budgeting, debt innovations), international trade (tariffs and quotas), banking and insurance (embedded options, asset-liability management) risk-sharing issues and the design of optimal derivative securities risk management, management and control valuation and analysis of the options embedded in capital projects valuation and hedging of exotic options new areas for further development (i.e. natural resources, environmental economics. The Review has a double-blind refereeing process. In contrast to the delays in the decision making and publication processes of many current journals, the Review will provide authors with an initial decision within nine weeks of receipt of the manuscript and a goal of publication within six months after acceptance. Finally, a section of the journal is available for rapid publication on `hot'' issues in the market, small technical pieces, and timely essays related to pending legislation and policy. Officially cited as: Rev Deriv Res
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