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Tests of the information content of derivatives prices: The case of options and single stock futures.

机译:衍生品价格信息内容的检验:期权和单一股票期货的情况。

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摘要

We examine the information content of derivative prices. In Chapter 1, we examine the information content of implied volatility for both future realized volatility and future returns. Previous studies have explored possible seasonal patterns in volatility (both implied and realized) and returns around the turn-of-the-year. However, we contribute to the existing literature by exploring possible seasonal patterns in the information content of implied volatility. Consistent with our hypotheses, we find a distinct seasonal pattern in the information content of implied volatility. The bias in implied volatility is largest in December and smallest in January. Moreover, the bias in implied volatility decreases in firm size, which is consistent with the idea that option traders are better able to price the options of larger firms with more available information. Additionally, we document a strong seasonal pattern in the market volatility risk premium. Further, we find a seasonal pattern in the relation between market the market volatility risk premium and future portfolio returns.;In Chapter 2, we use a sample of firms with actively traded single stock futures (SSF) to examine the information content of implied risk premiums embedded in SSF and option prices for future stock and portfolio returns. We believe this to be the first comprehensive study relating embedded risk premiums in cost-of-carry and put-call parity deviations to future stock returns. In addition, we test the possibility of a maturity dependent relation between the embedded risk premia and future returns. Overall, our results indicate that investors cannot profit from perceived mispricings in the SSF and option markets. The absence of a consistent relation between the implied risk premia and future returns implies that SSF and option markets are efficient in that any perceived mispricings in the SSF or option markets cannot be used to forecast future equity returns.
机译:我们研究了衍生产品价格的信息内容。在第一章中,我们研究了隐含波动率的信息内容,包括未来实现的波动率和未来收益。以前的研究已经探索了波动性的可能季节性模式(隐含和已实现),并在年终时返回。但是,我们通过探究隐含波动率的信息内容中可能的季节性模式来为现有文献做出贡献。与我们的假设一致,我们在隐含波动率的信息内容中发现了明显的季节性模式。隐含波动率的偏差在12月最大,在1月最小。而且,隐含波动率的偏差使公司规模减小,这与期权交易者更能够利用更多可用信息为大型公司的期权定价的想法一致。此外,我们记录了市场波动性风险溢价的强烈季节性模式。此外,我们在市场,市场波动性风险溢价与未来投资组合收益之间的关系中发现了一种季节性模式。在第二章中,我们使用具有活跃交易的单一股票期货(SSF)的公司样本来检验隐含风险的信息内容。 SSF中嵌入的权利金和未来股票和投资组合收益的期权价格。我们认为,这将是首次将运输成本和看跌期权平价偏差中的潜在风险溢价与未来股票收益相关联的综合研究。此外,我们测试了嵌入式风险溢价与未来收益之间是否存在依赖成熟度的关系。总体而言,我们的结果表明,投资者无法从SSF和期权市场的定价错误中获利。隐含的风险溢价和未来收益之间缺乏一致关系,这意味着SSF和期权市场是有效的,因为SSF或期权市场中任何感知到的定价错误都不能用来预测未来的股票收益。

著录项

  • 作者

    Moll, Cliff.;

  • 作者单位

    The Florida State University.;

  • 授予单位 The Florida State University.;
  • 学科 Economics Finance.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 124 p.
  • 总页数 124
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:36:58

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