Equity Is Cheap for Large Financial Institutions

2020 ◽  
Vol 33 (9) ◽  
pp. 4231-4271 ◽  
Author(s):  
Priyank Gandhi ◽  
Hanno Lustig ◽  
Alberto Plazzi

Abstract Across a wide panel of countries, the top-10% of financial stocks on average account for over 20% of a country’s market capitalization but earn on average significantly lower returns than do nonfinancial firms of the same size and risk exposures. In a bailout-augmented, rare disasters asset pricing model, the spread in risk-adjusted returns between large and small institutions depends on country characteristics that determine the likelihood of bailouts. Consistent with this model, we find larger spreads in countries with large and interconnected financial sectors, weaker capital regulation and corporate governance, and fiscally stronger governments. Valuation gaps increase in anticipation of financial crises. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

2004 ◽  
Vol 39 (1) ◽  
pp. 143-166 ◽  
Author(s):  
Neal Maroney ◽  
Atsuyuki Naka ◽  
Theresia Wansi

AbstractThis paper explores risk and return relations in six Asian equity markets affected by the 1997 Asian financial crisis. After the start of the crisis, national equity betas increased and average returns fell substantially. Beta increases due to leverage linked to exchange rates. The increase in expected return needed to accompany this rise in beta is made possible through the creation of capital losses that lower average returns. We propose a new probability-based asset pricing model that captures leverage effects using valuation ratios. Results show the role of leverage in explaining the likelihood of the financial crises. Crosssectional evidence supports time-series findings.


2019 ◽  
Vol 33 (8) ◽  
pp. 3393-3445 ◽  
Author(s):  
Ambrogio Cesa-Bianchi ◽  
M Hashem Pesaran ◽  
Alessandro Rebucci

Abstract We develop an asset pricing model with heterogeneous exposure to a persistent world growth factor to identify global growth and financial shocks in a multicountry panel VAR in volatility and output growth. The econometric estimates yield three sets of empirical results about (1) the importance of global growth for the interpretation of the correlation between volatility and growth over the business cycle and the possible presence of omitted variable bias in single-country VAR studies, (2) the extent to which output shocks drive volatility, and (3) the transmission of volatility shocks to output growth. Authors have furnished data, code, and an Internet Appendix, which are available on the Oxford University Press Web site next to the link to the final published paper online.


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