The market line estimation implicitly assumes that its parameters are constant over time supposing whatever the investment horizon, the investors have a similar behaviour. In this paper,we discuss this hypothesis using the technique of wavelets. First, we verify the expected result concerning the statistical weaknesses of market line and the high volatility of its parameters. Second, we use the wavelets to estimate the frequency betas. We show that the classic beta (estimated with OLS) considers a short-run beta. We propose a methodology based on time-frequency analysis that leads to an overview of equities characteristics useful to portfolio managers
Wavelets orthogonally decompose data into different frequency components, and the temporal and frequ...
We investigate the time variation in the market risk of industry portfolios of Borsa Istanbul with r...
In finance literature many economic theories and models have been proposed to explain and estimate t...
The market’s line estimation implicitly assumes that its parameters are constant over time. Investor...
This study investigates the multi‐scale inter‐temporal capital asset pricing model (ICAPM). We focus...
We use multi-scale analysis and a rolling 250-day window to estimate a widely used standard for empi...
Abstract In this paper, we empirically show how wavelet decomposition can provide an easy vehicle to...
The paper studies the impact of different time-scales on the market risk of individual stock market ...
Cataloged from PDF version of article.In this paper we propose a new approach to estimating systemat...
This thesis study two promising methods used to define the multiscale CAPM - the wavelet-based decom...
In this paper we propose a new approach to estimating the systematic risk (the beta of an asset) in ...
Statistical analysis of financial time series is studied. We use wavelet analysis to study signal to...
Although there is a consensus about time variation in market betas, it is not clear how this variati...
The current paper explores CAPM as a static model expressing relationships between excess return on...
This study is based on positivism research philosophy and utilizes deductive approach using quantita...
Wavelets orthogonally decompose data into different frequency components, and the temporal and frequ...
We investigate the time variation in the market risk of industry portfolios of Borsa Istanbul with r...
In finance literature many economic theories and models have been proposed to explain and estimate t...
The market’s line estimation implicitly assumes that its parameters are constant over time. Investor...
This study investigates the multi‐scale inter‐temporal capital asset pricing model (ICAPM). We focus...
We use multi-scale analysis and a rolling 250-day window to estimate a widely used standard for empi...
Abstract In this paper, we empirically show how wavelet decomposition can provide an easy vehicle to...
The paper studies the impact of different time-scales on the market risk of individual stock market ...
Cataloged from PDF version of article.In this paper we propose a new approach to estimating systemat...
This thesis study two promising methods used to define the multiscale CAPM - the wavelet-based decom...
In this paper we propose a new approach to estimating the systematic risk (the beta of an asset) in ...
Statistical analysis of financial time series is studied. We use wavelet analysis to study signal to...
Although there is a consensus about time variation in market betas, it is not clear how this variati...
The current paper explores CAPM as a static model expressing relationships between excess return on...
This study is based on positivism research philosophy and utilizes deductive approach using quantita...
Wavelets orthogonally decompose data into different frequency components, and the temporal and frequ...
We investigate the time variation in the market risk of industry portfolios of Borsa Istanbul with r...
In finance literature many economic theories and models have been proposed to explain and estimate t...