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Modeling and forecasting the volatility of returns in the infrastructure sector in emerging markets

Magweva, Rabson; Sibanda, Mabutho - In: Eurasian journal of business and economics : EJBE 13 (2020) 25, pp. 37-52

Persistent link: https://www.econbiz.de/10012225640

Inflation and infrastructure sector returns in emerging markets : panel ARDL approach

Magweva, Rabson; Sibanda, Mabutho - In: Cogent economics & finance 8 (2020) 1, pp. 1-17

This study evaluated the relationship between inflation and infrastructure sector stock returns in emerging markets in … inability of infrastructure sector returns in emerging markets to hedge inflation. Similar results were obtained when the … heterogenic nature of the infrastructure sector, a deeper analysis that focuses on infrastructure sector sub-categories might be …

Persistent link: https://www.econbiz.de/10012219374

Macroeconomic variables and stock market returns in Ghana : any causal link?

Issahaku, Haruna; Ustarz, Yazidu; Domanban, Paul Bata - 2013

The purpose of the study is to examine the existence of causality between macroeconomic variables and stock returns in Ghana. The study employs monthly time series data spanning the period January 1995 to December 2010. Unit root test is performed using ADF, PP and KPSS tests. Then, Vector Error...

Persistent link: https://www.econbiz.de/10009761096

On the bimodality of the distribution of the S&P 500’s distortion : empirical evidence and theoretical explanations

Schmitt, Noemi; Westerhoff, Frank H. - 2017

After showing that the distribution of the S&P 500's distortion, i.e. the log difference between its real stock market index and its real fundamental value, is bimodal, we demonstrate that agentbased financial market models may explain this puzzling observation. Within these models, speculators...

Persistent link: https://www.econbiz.de/10011595441

Volatility and calendar anomaly through GARCH model : evidence from the selected G20 stock exchanges

Mishra, Shraddha - In: International journal of business and globalisation : IJBG 19 (2017) 1, pp. 126-144

Persistent link: https://www.econbiz.de/10011847647

Improving the accuracy: volatility modeling and forecasting using high-frequency data and the variational component

Kumar, Manish - In: Journal of industrial engineering and management : JIEM 3 (2010) 1, pp. 199-220

In this study, we predict the daily volatility of the S&P CNX NIFTY market index of India using the basic "heterogeneous autoregressive" (HAR) and its variant. In doing so, we estimated several HAR and Log form of HAR models using different regressor. The different regressors were obtained by...

Persistent link: https://www.econbiz.de/10011899155