This study examined the relationship between portfolio return volatility and the volatility of stock returns using wavelet analysis on the Tehran Stock Exchange The data for this study from 58 companies member of the Tehran Stock Exchange, the pharmaceutical, food and automotive cluster sampling method in the period 2008-2013 using the Novin software, Tadbir Pardaz software, and stock sites such as www.rdis.ir, through calculating portfolio return volatility and the volatility of stock returns have been collected , and Using wavelet analysis tools in MATLAB software was evaluated. .The results show that, in the short and medium term than long-term relationship between stock returns and the level portfolio return is so severe that the stock...
This paper describes volatility forecasting by using wavelet neural networks. Publication is dedicat...
The issue of relationship between exchange rate and stock market is still not conclusive even though...
Statistical analysis of financial time series is studied. We use wavelet analysis to study signal to...
The paper studies the impact of different time-scales on the market risk of individual stock market ...
The relationship between stock market returns and economic activity is investigated using signal dec...
As far as the author’s knowledge, the paper is the first attempt dedicated to understanding the risk...
This article describes results of stock index analysis by using wavelet filtering. Wavelet filtering...
In this study, wavelet analysis as a modern technique in financial and economic issues is used to ev...
Fund and other investments often exhibit longer run volatility associated with macroeconomic or othe...
It is well known that during the developments in the economic sector and through the financial crise...
The main objective of the thesis is to analyse impact of wavelet covariance estimation in the contex...
OBJECTIVES OF THE STUDY: The momentum phenomenon is one of the most studied phenomena in finance,...
Kemeruapan pasaran saham adalah perkara penting terutamanya kepada dua pihak berkepentingan. Pengama...
This paper presents a new perspective on the Fisher hypothesis, which states a positiverelationship ...
Conventional time series theory and spectral analysis have independently achieved significant popula...
This paper describes volatility forecasting by using wavelet neural networks. Publication is dedicat...
The issue of relationship between exchange rate and stock market is still not conclusive even though...
Statistical analysis of financial time series is studied. We use wavelet analysis to study signal to...
The paper studies the impact of different time-scales on the market risk of individual stock market ...
The relationship between stock market returns and economic activity is investigated using signal dec...
As far as the author’s knowledge, the paper is the first attempt dedicated to understanding the risk...
This article describes results of stock index analysis by using wavelet filtering. Wavelet filtering...
In this study, wavelet analysis as a modern technique in financial and economic issues is used to ev...
Fund and other investments often exhibit longer run volatility associated with macroeconomic or othe...
It is well known that during the developments in the economic sector and through the financial crise...
The main objective of the thesis is to analyse impact of wavelet covariance estimation in the contex...
OBJECTIVES OF THE STUDY: The momentum phenomenon is one of the most studied phenomena in finance,...
Kemeruapan pasaran saham adalah perkara penting terutamanya kepada dua pihak berkepentingan. Pengama...
This paper presents a new perspective on the Fisher hypothesis, which states a positiverelationship ...
Conventional time series theory and spectral analysis have independently achieved significant popula...
This paper describes volatility forecasting by using wavelet neural networks. Publication is dedicat...
The issue of relationship between exchange rate and stock market is still not conclusive even though...
Statistical analysis of financial time series is studied. We use wavelet analysis to study signal to...