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The Importance of Leverage in Asset Pricing: Evidence from SP 500 Index Put Option Prices

机译:杠杆率在资产定价中的重要性:来自标准普尔500指数的证据表明价格

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The primary purpose of this paper is to introduce a new method for measuring and analyzing market leverage and credit risk effects on asset prices in the economy. To our knowledge this is the first paper to attempt to isolate and analyze the time series leverage and subsequent credit effects in stock index option prices. To analyze these effects we use both the Merton (1973) stock as an option model taking the observed equity index prices as given, and the Geske (1979) compound option model to produce index option prices. We examine whether the time series dynamics of market leverage have significant statistical and economic effects on the pricing of S&P 500 index put options. We present what we believe is the first market debt to equity (D/E) ratio derived from option theory using only contemporaneous market price data for the index level and index option prices. We show that during the years 1996-2004 the aggregate market based D/E ratio of the firms comprising the S&P 500 equity index varies between 40-120 percent. We demonstrate that this time series variation in the market value of aggregate corporate leverage of these 500 companies has significant economic effects on the prices of index option on the S&P 500. We show that by including leverage as a variable, Geske's option model is superior to models which omit leverage, such as Black-Scholes (BS) and Bakshi, Cao, and Chen (BCC) (1997). BCC's model has three versions which include stochastic volatility (SV), stochastic volatility and stochastic interest rates (SVSI), and stochastic volatility and jumps (SVJ). It may only be a slightly surprising that Geske dominates Black-Scholes, as long the data quality is sufficient to accurately measure leverage. It is much more interesting to learn that by the inclusion of leverage Geske dominates all three version of Bakshi, Cao, and Chen's more advanced models which omit leverage. We establish this as evidence that when leverage is an omitted variable the parameters of the more complex models are misestimated. Furthermore, without the leverage component of the stochastic volatility process, it appears the more complex models of BCC, Bates (2000), and Pan (2002) have difficulty accurately characterizing the return distribution and pricing the options.
机译:本文的主要目的是引入一种衡量和分析市场杠杆和信用风险影响的新方法,以了解经济中的资产价格。据我们所知,这是第一份试图隔离和分析时间序列利用和随后的信贷效应的纸张股票指数期权价格。为了分析这些效果,我们使用Merton(1973)股票作为选项模型,以指定的股权指数价格,以及GESKE(1979)复合选项模型,以产生指数期权价格。我们仔细检查市场杠杆的时间序列动态对标准普尔500指数PUT选项的定价有显着的统计和经济影响。我们展示了我们认为首先使用的股权(D / e)比率来自选项理论的股权(D / e)的比例,仅用于指数水平和指数期权价格。我们表明,在1996 - 2004年期间,包括标准普尔500指数股票指数的公司的基于公司的总市场的D / E比率在40-120%之间。我们证明,这次全体企业杠杆市场价值的这一时间序列变化对标准普尔500指数的指数选项价格具有重大的经济影响。我们表明,通过将杠杆作为变量的杠杆作用,格可基的期权模型优于省略杠杆的模型,如Black-Scholes(BS)和Bakshi,Cao和Chen(BCC)(1997)。 BCC的模型具有三种版本,包括随机挥发性(SV),随机挥发性和随机性的感兴趣(SVSI)和随机挥发性和跳跃(SVJ)。只有奇迹占据了黑人学员的略微令人惊讶,只要数据质量足以准确测量杠杆。通过包含杠杆子占据所有三个版本的Bakshi,Cao和Chen更先进的模型,它更有趣的是,更有兴趣的是,更有趣。我们建立这一点作为证据表明,当杠杆是省略的变量时,更复杂的模型的参数被误定。此外,在随机挥发性过程的杠杆分量的情况下,它看起来更复杂的BCC,Bates(2000)和Pan(2002)难以准确地表征返回分布和定价选项。

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