Any time series can be decomposed into cyclical components fluctuating at different frequencies. Accordingly, in this paper we propose a method to forecast the stock market's equity premium which exploits the frequency relationship between the equity premium and several predictor variables. We...

Any time series can be decomposed into cyclical components fluctuating at different frequencies. Accordingly, in this paper we propose a method to forecast the stock market's equity premium which exploits the frequency relationship between the equity premium and several predictor variables. We...

This paper explores dynamic correlation and interdependence of five global REIT markets using multivariate wavelet methods. United States, Hong Kong, Belgium, South Africa and Australia's daily REITs returns are used as proxies for North America, Asia, Europe, Africa and the Oceania continents,...

This study revisits the relationship between securitized real estate and local stock markets by focusing on their time-scale co-movement and contagion dynamics across five developed countries. Since securitized real estate market is an important capital component of the domestic stock market in...

This paper explores dynamic correlation and interdependence of five global REIT markets using multivariate wavelet methods. United States, Hong Kong, Belgium, South Africa and Australia’s daily REITs returns are used as proxies for North America, Asia, Europe, Africa and the Oceania...

This study revisits the relationship between securitized real estate and local stock markets by focusing on their time-scale co-movement and contagion dynamics across five developed countries. Since securitized real estate market is an important capital component of the domestic stock market in...

Visegrad countries, Poland, Slovakia, Czech Republic and Hungary have common history and have faced the same challenges created by globalisation process for the last three decades. They have successfully transformed form central planned to market economies. They have implemented fundamental...

Simple and intuitive non-parametric methods are provided for estimating variance change points for time series data. Only slight alterations to existing open-source computer code applying CUSUM methods for estimating breakpoints are required to apply our proposed techniques. Our approach,...

In this paper we study income polarization by first comparing the efficiency of two statistical models to identify the number of poles in the income distribution empirically. The statistical models used are a multi-resolution analysis (MRA) and a log-normal approach (LNA). We then apply the...