Research on Abnormal Asset Growth of American Stock Market Based on Multidimensional System

Author(s):  
Weizhe Xu
2018 ◽  
Vol 29 (78) ◽  
pp. 418-434
Author(s):  
Márcio André Veras Machado ◽  
Robert William Faff

Abstract Empirical evidence suggests that firms which have experienced fast growth, through increased external funding and by making capital investments and acquisitions, tend to show bad operating performance and lower stock returns, whereas firms that have experienced contraction, through divestiture, share repurchase and debt retirement, tend to show good operating performance and higher stock returns. So, this study aimed to analyze the relationship between asset growth and stock return in the Brazilian stock market, and it tested the hypothesis that asset growth is negatively related to future stock return. To do this, the methodology was divided into 3 steps: verifying 1) if asset growth anomaly exists; 2) if this relation may be explained by the investment friction hypothesis and/or by the limits-to-arbitrage hypothesis; and 3) if asset growth is a risk factor or mispricing. In addition, the analysis was carried out both at a portfolio level and an individual assets level. The sample included all the non-financial firms listed at B3 from June 1997 to June 2014. As for the main results, this study found that the asset growth effect exists, both at the portfolio level and the individual assets level, although it is sensitive to the proxy. About the effect’s materiality, this study concluded that the asset growth effect is not economically relevant, since it is not observed in big firms, regardless of the proxy used, a fact that makes it difficult to explore this effect. Another finding is that the asset growth effect may not be related to the limits-to-arbitrage hypothesis and to the financial constraint hypothesis; also, this effect may be considered a risk factor, suggesting that the investment effect documented in the Brazilian stock market may be explained by the rational asset pricing perspective. Therefore, capital market professionals should take into account the asset growth factor in asset pricing models for better investment risk assessment.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Quoc Trung Tran

PurposeThis paper aims to investigate the effect of foreign ownership on cost of debt financing in an emerging stock market.Design/methodology/approachCost of debt is a function of foreign ownership. Control variables include state ownership, firm profitability, financial leverage, Tobin's Q, asset growth, firm size and asset tangibility. The research sample includes 3,263 observations from 405 firms listed in Vietnamese stock market during the period 2009–2017.FindingsThe authors find that foreign ownership negatively affects cost of debt and this effect is stronger in non-state-owned enterprises and financially constrained firms.Originality/valuePrior research shows that ownership structure is a key determinant of debt financing cost in many developed markets. This paper contributes to the literature of emerging market finance by showing that foreign ownership reduces cost of debt financing.


Author(s):  
Thomas Plieger ◽  
Thomas Grünhage ◽  
Éilish Duke ◽  
Martin Reuter

Abstract. Gender and personality traits influence risk proneness in the context of financial decisions. However, most studies on this topic have relied on either self-report data or on artificial measures of financial risk-taking behavior. Our study aimed to identify relevant trading behaviors and personal characteristics related to trading success. N = 108 Caucasians took part in a three-week stock market simulation paradigm, in which they traded shares of eight fictional companies that differed in issue price, volatility, and outcome. Participants also completed questionnaires measuring personality, risk-taking behavior, and life stress. Our model showed that being male and scoring high on self-directedness led to more risky financial behavior, which in turn positively predicted success in the stock market simulation. The total model explained 39% of the variance in trading success, indicating a role for other factors in influencing trading behavior. Future studies should try to enrich our model to get a more accurate impression of the associations between individual characteristics and financially successful behavior in context of stock trading.


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