基于供求关系的金融资产价格模型

Takashi Kanamura
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引用次数: 6

摘要

本文提出了一种基于供求关系的金融资产价格模型,称为金融资产的基于供需的价格模型。该模型表明,股票价格波动的特征是需求曲线向下倾斜和成交量波动,而不是证券市场中常用的另一种随机波动过程。特别地,我们发现使用参数为正的逆Box-Cox变换的平坦需求曲线导致了证券市场中经常出现的不对称波动,即负的价格收益-波动相关。该模型还将非对称波动率分为杠杆效应和反馈效应两类,考察了预期价格收益与波动率之间的关系。然后,我们基于SDP模型描述了时变的市场风险价格。对许多资产类别近十年数据的实证研究表明,股票市场指数、货运指数和碳资产具有正逆的Box-Cox变换参数,导致不对称波动,而商品相关资产往往具有负参数,导致反向杠杆效应。相反,我们使用1950年至2009年的长期数据来说明证券市场的反向杠杆效应。最后,我们表明,如果预期收益为正,则无论资产类别如何,正风险和回报关系都成立。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Supply and Demand Based Price Model for Financial Assets
This paper proposes a price model for financial assets using the supply-demand relationship, referred to as a supply and demand based price (SDP) model for financial assets. The model demonstrates that stock price volatility is characterized by the downward sloping demand curve and volume fluctuation, not by another stochastic volatility process often employed in security markets. In particular, it is found that the flatter demand curve using inverse Box-Cox transformation with a positive parameter causes the asymmetric volatility, i.e., negative price return-volatility correlation, often observed in security markets. The model can also classify the asymmetric volatility into leverage effect and feedback effect examining the relationship between expected price return and volatility. We then characterize the time varying market price of risk based on the SDP model. Empirical studies using a recent decade data for many asset classes show that stock market indices, freight indices, and carbon assets possess positive inverse Box-Cox transformation parameters, resulting in asymmetric volatility while commodity-related assets tend to have negative parameters, resulting in inverse leverage effects. In contrast, using the long run data from 1950 to 2009, we illustrate the inverse leverage effect in security markets. Finally, we show that the positive risk and return relationship holds if the expected return is positive, regardless of the asset class.
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