The Role of a Latent Value-Relevant Measure in Tracking and Predicting Stock Returns: A FAVAR Approach

2020 ◽  
Author(s):  
Faisal M. Awwal ◽  
Xiaoquan Jiang
Keyword(s):  
Author(s):  
Mina Sami

Abstract This study has two main objectives: first, it assesses the effect of outbreak pandemic diseases on the French firms’ stock returns by considering the sector of activity as the main center of analysis. Second, it investigates the role of the crisis management system, firm debt strategy, and monetary policy in dealing with the adverse shocks of the major outbreak of the COVID-19. The study results can be summarized as follows: (1) the daily growth in COVID-19 cases and deaths are associated with lower stock returns of the listed firms, especially for the firms operating in the energy, industrial and health care sectors. In contrast, telecommunication and consumer sectors are not significantly affected. (2) The pandemic’s adverse effect is much more tolerant with the French firms with an efficient crisis management system and low long-term debt commitments than the firms that do not have such a system and engaged with long term debts. (3) Euribor rates and monetary policy are still playing an essential role during the pandemic period.


2004 ◽  
Vol 9 (2/3) ◽  
pp. 149-188 ◽  
Author(s):  
Tom Copeland ◽  
Aaron Dolgoff ◽  
Alberto Moel

2019 ◽  
Author(s):  
Jun Gao ◽  
Sheng Zhu ◽  
Niall O'Sullivan ◽  
Meadhbh Sherman

2020 ◽  
Vol 9 (3) ◽  
pp. 1-25
Author(s):  
Faisal Khan ◽  
Sharif Ullah Jan

This research study analyses the role of size effect in detecting the pricing of risk, various volatility dynamics, and economic exposure of firm returns on the Pakistani stock market by employing monthly data for the period from 1998 to 2018. Three generalized autoregressive conditional heteroskedasticity models were applied: GARCH(1,1) for capturing different volatility dynamics, GARCH-M for pricing of risk, and EGARCH for asymmetric and leverage effect. The findings of the study are as follows: Firstly, the authors untie that pricing of risk is subject to considerable variations with respect to firm size. Secondly, in the process of detecting whether the firm size matters in the case of asymmetry and leverage effect, they find that it is indeed the case. Thirdly, size effect plays a substantial role in determining various volatility dynamics. Finally, they uncover that economic factors affect stock returns differently based on firm size, signifying the role of size effect.


2012 ◽  
Vol 48 (1) ◽  
pp. 47-76 ◽  
Author(s):  
Ling Cen ◽  
Gilles Hilary ◽  
K. C. John Wei

AbstractWe test the implications of anchoring bias associated with forecast earnings per share (FEPS) for forecast errors, earnings surprises, stock returns, and stock splits. We find that analysts make optimistic (pessimistic) forecasts when a firm’s FEPS is lower (higher) than the industry median. Further, firms with FEPS greater (lower) than the industry median experience abnormally high (low) future stock returns, particularly around subsequent earnings announcement dates. These firms are also more likely to engage in stock splits. Finally, split firms experience more positive forecast revisions, more negative forecast errors, and more negative earnings surprises after stock splits.


Author(s):  
Simon Yang

This study reexaminesthe role of earnings persistence as to understand the incremental value relevance of earnings levels and earnings changes in explaining stock returns in the stock market of U.S. The results show that earnings levels and earnings changes together provide the higher value relevant information than each earnings variable alone in explaining stock returns. An increase in earnings persistence, approximated by different time-serial and firm-specific measures, puts more (less) value relevant weight on earning changes (levels). However, the complementary value relevance between earnings levels and earnings changes is somehow weak, implying that a possibly deteriorating valuation role for earnings levels and earnings changes may occur in the recent years for the U.S. stock market.


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