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Essays on investment fluctuation and market volatility.

机译:关于投资波动和市场波动的论文。

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摘要

This dissertation includes two different groups of objects in macroeconomics and financial economics. In macroeconomics, the aggregate investment fluctuation and its relation to an individual firm's behavior have been extensively studied for the past three decades. Most studies on the interdependence behavior of firms' investment focus on the key issue of separating a firm's reaction to others' behavior from reaction to common shocks. However, few researchers have addressed the issue of isolating this endogenous effect from a statistical and econometrical approach. The first essay starts with a comprehensive review of the investment fluctuation and firms' interdependence behavior, followed by an econometric model of lumpy investments and an analysis of the binary choice behavior of firms'investments. The last part of the first essay investigates the unique characteristics of the Italian economy and discusses the economic policy implications of our research findings.;We ask a similar question in the field of financial economics: Where does stock market volatility come from? The literature on the sources of such volatility is abundant. As a result of the availability of high-frequency financial data, attention has been increasingly directed at the modeling of intraday volatility of asset prices and returns. However, no empirical research of intraday volatility analysis has been applied at both a single stock level and industry level in the food industry.;The second essay is aimed at filling this gap by modeling and testing intraday volatility of asset prices and returns. It starts with a modified High Frequency Multiplicative Components GARCH (Generalized Autoregressive Conditional Heteroscedasticity) model, which breaks daily volatility into three parts: daily volatility, deterministic intraday volatility, and stochastic intraday volatility. Then we apply this econometric model to a single firm as well as the whole food industry using the Trade and Quote Data and Center for Research in Security Prices data. This study finds that there is little connection between the intraday return and overnight return. There exists, however, strong evidence that the food recall announcements have negative impacts on asset returns of the associated publicly traded firms.
机译:本文包括宏观经济学和金融经济学两个不同的对象组。在宏观经济学中,过去三十年来,对总投资波动及其与单个公司行为的关系进行了广泛的研究。关于企业投资相互依存行为的大多数研究都集中在将企业对他人行为的反应与对普通冲击的反应分开的关键问题上。但是,很少有研究人员讨论过从统计和计量经济学方法中隔离这种内生效应的问题。第一篇文章首先全面回顾了投资波动和企业的相互依存行为,然后是块状投资的计量经济学模型,并分析了企业投资的二元选择行为。第一篇文章的最后一部分研究了意大利经济的独特特征,并讨论了我们研究结果的经济政策含义。我们在金融经济学领域提出了类似的问题:股票市场的波动来自何处?关于这种波动性来源的文献很多。由于可获得高频财务数据,因此越来越多地将注意力放在资产价格和收益的日内波动建模上。但是,对于食品行业的单个库存水平和行业水平,都没有进行日内波动率分析的实证研究。第二篇文章旨在通过对资产价格和收益的日内波动率进行建模和测试来填补这一空白。它以修改后的高频乘性成分GARCH(广义自回归条件异方差)模型开始,该模型将每日波动分为三个部分:每日波动,确定性日内波动和随机日内波动。然后,我们使用“贸易和报价”数据以及“证券价格研究中心”数据将此经济计量模型应用于单个公司以及整个食品行业。这项研究发现,当日收益和隔夜收益之间几乎没有联系。但是,有确凿的证据表明,食品召回公告对相关上市公司的资产收益具有负面影响。

著录项

  • 作者

    Lai, Chaoqun.;

  • 作者单位

    Utah State University.;

  • 授予单位 Utah State University.;
  • 学科 Economics General.;Economics Finance.;Economics Theory.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 104 p.
  • 总页数 104
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 经济学;财政、金融;经济学;
  • 关键词

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