Relationship between stock returns and inflation: New evidence from the US using wavelet and causality methods

Author(s):  
Aviral Kumar Tiwari ◽  
Adeolu O. Adewuyi ◽  
Olabanji B. Awodumi ◽  
David Roubaud
Keyword(s):  
The Us ◽  
2013 ◽  
Author(s):  
Richard Chung ◽  
Ali F. Darrat ◽  
Bin Li
Keyword(s):  

2016 ◽  
Vol 51 (1) ◽  
pp. 197-229 ◽  
Author(s):  
Philip Valta

AbstractThis paper theoretically and empirically investigates how debt structure and strategic interaction among shareholders and debt holders in the event of default affect expected stock returns. The model predicts that expected stock returns are higher for firms that face high debt renegotiation difficulties and that have a large fraction of secured or convertible debt. Using a large sample of publicly traded U.S. firms for the period 1985–2012, the paper presents new evidence on the link between debt structure and stock returns that is supportive of the model’s predictions.


2000 ◽  
Vol 11 (1-2) ◽  
pp. 73-86 ◽  
Author(s):  
Osman Kilic ◽  
M.Kabir Hassan ◽  
David Tufte

2017 ◽  
Vol 14 (3) ◽  
pp. 160-172 ◽  
Author(s):  
Shakila B. ◽  
Prakash Pinto ◽  
Iqbal Thonse Hawaldar

Semi-monthly effect is a kind of calendar anomalies which is less explored in the financial literature. The main objective of this paper to investigate the presence of semi-monthly effect in selected sectoral indices of Bombay Stock Exchange (BSE). The study uses the daily stock returns of five sectoral indices viz S&P BSE Auto Index, S&P BSE Bankex, S&P BSE Consumer Durables Index, S&P BSE FMCG Index and S&P BSE Health Care Index for the period of 10 years starting from 1st April 2007 to 31st March 2017. The data were analyzed using two approaches namely calendar days approach and trading days approach. To test the equality of mean returns for the two halves of the month, Mann-Whitney U test is used. The empirical results of the study did not provide any evidence for the presence of semi-monthly effect in the selected sectoral indices. Nevertheless, BSE Auto Index showed significant difference in the mean returns of first half and second half of trading month during the study period.


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