The Arbitrage Pricing Theory and the Capital Asset Pricing Models and Artificial Neural Networks Modeling with Particle Swarm Optimization (PSO)

Eleftherios Giovanis
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引用次数: 3

Abstract

We examine two stocks of Athens Exchange Stock Market, that of 'Coca-Cola' and 'Compucon'. We analyze the arbitrage pricing theory (APT) model and the Capital Asset Pricing Model (CAPM) and we compare the performance between them. Then we develop a neural network model in Synapse Software with the particle swarm optimization algorithm and show the flexibility of hybrid models and the Synapse software, as the superiority in forecasting performance, in relation to the traditional econometric methodology , like Ordinary least square and ARCH-GARCH estimations.
套利定价理论与资本资产定价模型及粒子群优化人工神经网络建模
我们考察了雅典证券交易所的两只股票,可口可乐和康普康。本文分析了套利定价理论(APT)模型和资本资产定价模型(CAPM),并比较了两者的绩效。然后在Synapse软件中使用粒子群优化算法建立神经网络模型,并展示了混合模型的灵活性和Synapse软件在预测性能上的优势,相对于传统的计量经济学方法,如普通最小二乘法和ARCH-GARCH估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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