An empirical analysis to study the cyclical trends on stock exchange using wavelet methods
نویسندگان
چکیده
منابع مشابه
The Determinants of Exchange Rate System: an Empirical Analysis
Since the breakdown of the Bretton Woods System, exchange arrangements of countries have become flexible. Several attempts have been made to determine whether the theories of optimum currency areas adequately explain the choice of an exchange rate system. In this paper, the optimum currency area is retested. Using cross-section data, a regression analysis of the choice of an exchange rate syste...
متن کاملForecasting Stock Market Using Wavelet Transforms and Neural Networks: An integrated system based on Fuzzy Genetic algorithm (Case study of price index of Tehran Stock Exchange)
The jamor purpose of the present research is to predict the total stock market index of Tehran Stock Exchange, using a combined method of Wavelet transforms, Fuzzy genetics, and neural network in order to predict the active participations of finance market as well as macro decision makers.To do so, first the prediction was made by neural network, then a series of price index was decomposed by w...
متن کاملStock Liquidity and Capital Structure: An Empirical Study on Amman Stock Exchange
This paper examines the relationship between stock liquidity and capital structure, using a sample of 38 industrial companies listed on Amman Stock Exchange (ASE) over the time period 2000 through 2009. The univariate and panel regression analysis results show insignificant relationship between the three measures of liquidity (Amihud's (2002) illiquidity, modified turnover, and modified liquidi...
متن کاملAn Empirical Analysis of Istanbul Stock Exchange Sub-Indexes
This paper analyzes possible cointegration relations among the sub-indexes of the Istanbul Stock Exchange series services sector, industry sector and financial sector for the period from February 1, 1997 to September 24, 2003. The data is analyzed by using various methods initiated by Engle and Granger (1987), Johansen (1988) and Akdi (1995). The basic finding of this study is that none of thes...
متن کاملForecasting Stock Market Using Wavelet Transforms and Neural Networks and ARIMA (Case study of price index of Tehran Stock Exchange)
The goal of this research is to predict total stock market index of Tehran Stock Exchange, using the compound method of ARIMA and neural network in order for the active participations of finance market as well as macro decision makers to be able to predict trend of the market. First, the series of price index was decomposed by wavelet transform, then the smooth's series predicted by using...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Management Science Letters
سال: 2011
ISSN: 1923-9335,1923-9343
DOI: 10.5267/j.msl.2010.01.004