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首页> 外文期刊>International Journal of African and Asian Studies >Arbitrage Pricing Model; Determining the Number of Factors and Their Consistency Across Markets
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Arbitrage Pricing Model; Determining the Number of Factors and Their Consistency Across Markets

机译:套利定价模型;确定因素数量及其在整个市场上的一致性

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Purpose - The discovery of a true financial equilibrium model that could explain the prices of stocks has long been a sought after challenge and a vital area of research in modern financial theory. The concept is based on the fact that the price of the stock is affected by the present value of the future cash flows from the stock, and anything that will affect the discount rate of these future cash flows. Many brokerage firms, financial institutions and financial consulting firms use multi-index models to aid in the investment process Thus the APT model is becoming increasingly popular and has been a subject of several empirical studies. These models have been tested on both developed and developing markets. The purpose of this research is to analyze the Arbitrage Pricing Theory (APT) introduced by Ross (1976), which is a more simplified, multifactor model, with fewer relative assumptions to other models, across different representative markets, giving particular attention to the number of factors. Design/methodology/approach – The research is quantitative in nature and principal component analysis will be used to determine the ideal number of factors that should be included in the model, as well as the identity of these factors. Findings - Results indicate that the ideal number of factors vary from four to five factors across markets, with their identity differing across markets. Findings provide valuable insights for professionals in the market as well as academics who want to gain further knowledge on the number of factors. Research limitations/implications – The application of Principal Component Analysis (PCA) is based only on a sample of stocks and not on the whole population in the stock market, and thus there remains a question of how accurate these approximations actually are. Practical implications – The APT is a popular multi-index model that should be used by financial analysts to allow risk to be more tightly controlled and allow investors to protect against specific type of risk to which he or she is particularly sensitive or to make specific bets on certain types of risks. Originality/value – No research has yet been carried out across different markets for the same time period as will be carried out in this research, and thus the empirical study in this research aims to add knowledge on whether the number of factors will be consistent across borders or will change from market to market.
机译:目的-能够解释股票价格的真实金融平衡模型的发现长期以来一直是人们追求的挑战,也是现代金融理论研究的重要领域。该概念基于这样一个事实,即股票价格受股票未来现金流量的现值影响,并且会影响这些未来现金流量的折现率。许多经纪公司,金融机构和金融咨询公司使用多指标模型来辅助投资过程,因此APT模型变得越来越流行,并且已经成为一些实证研究的主题。这些模型已经在发达和发展中市场上进行了测试。这项研究的目的是分析由Ross(1976)引入的套利定价理论(APT),它是一个更简化的多因素模型,在不同的代表市场上与其他模型的相对假设少,尤其关注数字因素。设计/方法/方法–研究本质上是定量的,并且将使用主成分分析来确定模型中应包括的理想因素数量,以及这些因素的身份。结果-结果表明,理想的因素数量在整个市场中从4个到5个因素不等,并且它们在各个市场中的身份也有所不同。这些发现为市场上的专业人员以及想获得更多有关因素数量知识的学者提供了宝贵的见解。研究的局限性/意义–主成分分析(PCA)的应用仅基于股票样本,而不是股票市场上的整个人口,因此仍然存在这些近似值实际上有多准确的问题。实际意义– APT是一种流行的多指标模型,金融分析师应使用该模型来使风险得到更严格的控制,并使投资者能够防范自己特别敏感的特定类型的风险或进行特定的下注某些类型的风险。原创性/价值–尚未在同一时间段内在不同市场上进行过任何研究,因此,本研究的实证研究旨在增加有关因素数量是否在整个过程中保持一致的知识边界或将因市场而异。

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