scholarly journals Size and Value Anomalies in European Bank Stocks

2018 ◽  
Vol 13 (12) ◽  
pp. 227
Author(s):  
Barbara Fidanza ◽  
Ottorino Morresi

The Fama-French three-factor model (Fama & French, 1993) has been subject to extensive testing on samples of US and European nonfinancial firms over several time windows. The most accepted evidence is that size premium (SMB) and value premium (HML) other than the market risk premium help explain cross-section and time-series changes in stock returns. However, scholars have always paid little attention to the financial industry because of the intrinsic differences between financial and nonfinancial firms. The few studies that tested the model on financial firms found mixed evidence on the role of size and book-to-market ratio (B/M) in explaining stock returns. This paper tries to bridge the gap by testing the model on a sample of European financial firms. We find that size and B/M factors seem to be sources of undiversifiable risks and should therefore be included as risk premiums for estimating expected returns of financial firms. Small and high-B/M firms show higher returns that are not explained by market risk and the inclusion of SMB and HML helps improve the regression models’ goodness-of-fit.

2019 ◽  
Vol IV (I) ◽  
pp. 30-38
Author(s):  
Maria Sultana ◽  
Muhammad Imran ◽  
Muhammad Amjad Saleem

The fundamental structure of the present theory of asset pricing underscored clarifying the path as to how the systematic risk is estimated and how investors are adapted to behavior for such risk. The mixed expense of debt and equity that an association should procure to raise funds for its assignments impacts its stock returns through investment choices and is an additional significant segment of business valuation work on the grounds that for putting resources into more risky resources, investors request better yields or higher returns, for legitimizing better yields this risk premium emerging from such risks is included in the returns. Hence, in clarifying portfolio returns, the three-factor model is increased with WACC to analyze its logical force that if WACC is estimated by the market or not through multivariate regressions. Two principle results are deduced by the examination; first; the findings attest to the presence of market premium, size impact, value impact, WACC premium in the equity market of Pakistan. Second, however generally exciting with exceptional interest, when contrasted with FF unique 3-factor model, the models which join WACC outperformed, which also affirmed from Adj.R2 results.


2014 ◽  
Vol 90 (1) ◽  
pp. 265-299 ◽  
Author(s):  
Mark L. DeFond ◽  
Mingyi Hung ◽  
Siqi Li ◽  
Yinghua Li

ABSTRACT We test whether mandatory IFRS adoption affects firm-level “crash risk,” defined as the frequency of extreme negative stock returns. We separately analyze nonfinancial firms and financial firms because IFRS is likely to affect their crash risk differently. We find that IFRS adoption decreases crash risk among nonfinancial firms, especially among firms in poor information environments and in countries where IFRS adoption results in larger and more credible changes to local GAAP. In contrast, IFRS adoption has no effect on crash risk for financial firms, on average, but decreases crash risk among firms less affected by IFRS's fair value provisions, and increases crash risk among banks in countries with weak banking regulations. Overall, our results are consistent with the increased transparency from IFRS adoption broadly reducing crash risk among nonfinancial firms, but more selectively among financial firms, and with financial regulations playing a complementary role in implementing IFRS among financial firms.


2018 ◽  
Vol 25 (2) ◽  
pp. 518-526 ◽  
Author(s):  
Kienpin Tee ◽  
Marilyn Wiley

Purpose The 2008-2009 subprime mortgage crisis in the USA caused bankruptcies and closures of many financial institutions. Yet many CEOs of US financial institutions were awarded huge bonuses and pay packages despite the economic collapse, suggesting that their incomes were not in conjunction with those of the shareholders, indicating a serious agency problem. This issue raises the question as to whether stock option backdating, another example of an agency problem, was as prevalent as slack lending policies among these financial institutions. This paper aims to compare the relative magnitude of executive option backdating in financial and nonfinancial firms. Design/methodology/approach Using a sample of CEO stock option grants from 1995 to 2006, obtained from ExecuComp, the authors employ an event study around the grant dates of executive options. The authors compare the abnormal price movements between financial and nonfinancial firms. Findings The abnormal negative stock returns were found before the award dates for both groups of firms. The after-event abnormal returns of both groups of firms, however, show different trends. For nonfinancial firms, there is an immediate turnaround of the abnormal return movement right after the grants; that is, the price increases, indicating the occurrence of significant backdating events. For financial firms, however, there is no significant price rebound after the grant date. In fact, the price continued to decline throughout the after-event period. Research limitations/implications The result shows that nonfinancial firms demonstrate significantly more option backdating behavior than financial firms. Practical implications The findings suggest that previous findings on prevalent backdating among all public listed firms are only partially correct. This paper shows that backdating behavior found in previous studies is indeed driven by nonfinancial firms. This unexpected finding contradicts the initial prediction of authors that option backdating may be more likely among financial firms. Originality/value Based on previous research, the authors recognize that generally the official grant dates of firms must have been set retroactively, as shown by Lie (2005). The findings, however, show that financial firms demonstrate only partial backdating behavior. This study opens a path for future research to further discover why financial firms exhibit less backdating behavior compared with nonfinancial firms, and if option backdating is not an issue for financial firms, why the share prices of these firms decline significantly prior to the grant date.


Author(s):  
Ni Putu Desy Ratna Dewi ◽  
I Wayan Suartana

Tujuan dari penelitian ini adalah untuk membandingkan kemampuan CAPM dan FF3FM dalam memprediksi return saham di Bursa Efek Indonesia.  Populasi dalam penelitian ini adalah perusahaan-perusahaan terdaftar di Bursa Efek Indonesia yang termasuk dalam kelompok saham Indeks Kompas 100 pada periode 2012-2016. Hasil penelitian menunjukkan bahwa variabel market risk premium berpengaruh positif terhadap return pada enam portofolio yang dibentuk dalam CAPM dan FF3FM. Variabel size premium berpengaruh positif pada return portofolio S/H, S/M, dan S/L dan berpengaruh negatif pada return portofolio B/H, B/M, dan B/L. Variabel book to market premium berpengaruh positif pada return portofolio B/H, S/H, dan S/M dan berpengaruh negatif pada return portofolio B/L dan S/L. Sedangkan variabel book to market premium tidak berpengaruh pada return portofolio B/M. Nilai adjusted R square CAPM dan FF3FM menunjukkan bahwa kemampuan FF3FM lebih baik dalam menjelaskan return dibandingkan CAPM.


2020 ◽  
Author(s):  
Zhiyao Chen ◽  
Ilya A. Strebulaev ◽  
Yuhang Xing ◽  
Xiaoyan Zhang

We find strong empirical support for the risk-shifting mechanism to account for the puzzling negative relation between idiosyncratic volatility and future stock returns. First, equity holders take on investments with high idiosyncratic risk when their firms are in distress and receive less monitoring from institutional holders as well as when the aggregate economy is in a bad state. Second, the strategically increased idiosyncratic volatility decreases equity betas, particularly in bad states when the market risk premium is high. The negative covariance between the equity beta and the market risk premium causes low and negative returns and alphas in firms with high idiosyncratic volatility. This paper was accepted by Tomasz Piskorski, finance.


2017 ◽  
Vol 10 (2) ◽  
pp. 114
Author(s):  
Shima Khajeh Shalaei

Determining effective agents in stock return excess behavior (stock risk premium) is one of the key points in investors decision that its benefit and quality of its elements (like accruals) are the impressive factors on stock return excess (stock risk premium) which influence users decision making. Accruals are temporary adjustments that postpone fulfilled cash flows recognition and estimate error degree. Criteria estimating to study these items quality seem necessary because of affecting over future cash flows. Therefore the current study aims to investigate the effect of accruals quality and market risk premium on stock return excess. In order to examine probe hypothesis, we used Fama-French three-factor model that accruals were added to it. For this aim a sample that includes 88 of accepted companies in Tehran stock exchange between 2005 until 2013 was studied. In order to calculate accruals, we used Dechow et al model (1995) utilizing sectional data and to estimate we used Fama-French model (1993) by multivariable regression method and time series data. This study in nature is collateral and in goal is fundamental-experimental. The conclusions show that between accruals quality factors and stock risk premium there is a negative significant relation and between market and stock risk premium there is a positive significant relation. Moreover, the results indicate that among size agent and stock risk premium also between book value to market value ratio factors and stock risk premium there is a negative significant link.


2019 ◽  
Vol 20 (1) ◽  
pp. 168-191 ◽  
Author(s):  
Muhammad Naveed Jan ◽  
Usman Ayub

Forecasting the stock returns in the emerging markets is challenging due to their peculiar characteristics. These markets exhibit linear as well as nonlinear features and Conventional forecasting methods partially succeed in dealing with the nonlinear nature of stock returns. Contrarily, Artificial Neural Networks (ANN) is a flexible machine learning tool which caters both the linear and nonlinear markets. This paper investigates the forecasting ability of ANN by using Fama and French five-factor model. We construct ANN’s based on the composite factors of the FF5F model to predict portfolio returns in two stages; in stage one, the study identifies the best-fit combination of training, testing, and validation along with the number of neurons full sample period. In stage two, the study uses this best combination to forecast the model under 48-months rolling window analysis. In-sample and out-sample comparisons, regression, and goodness of fit test and actual and predicted values of the stock returns of our ANN model reveal that the proposed model accurately predicts the one-month ahead returns. Our findings reinforce the investment concept that the markets compensate the high-risk portfolios more than mid and low beta portfolios and the methodology will significantly improve the return on investment of the investors.


2016 ◽  
Vol 8 (2) ◽  
pp. 113
Author(s):  
Amal Peter Abeysekera ◽  
Nimal Pulukkuttige Don

<p>This paper aims to identify how the inclusion of financial sector affects the ability of asset pricing models to explain the average stock returns in the CSE.  Most of the asset pricing researches, the firms in the financial sector are excluded on the basis that their characteristics and the leverage are notably different than firms in other industries. Therefore the objective of this study is to identify the impact of the inclusion of financial sector on the ability of the Carhart four-factor model to explain the average stock returns in the CSE and to compare its performance with the Capital Asset Pricing Model (CAPM) and the Fama and French three-factor model. The study finds that the four-factor model; incorporating the market premium, size premium, value premium and momentum premium provides a satisfactory explanation of the variation in the cross-section of average stock returns in the CSE, even when the financial sector is included. It is found that the Carhart four-factor model performs better than the CAPM in all scenarios; and that it performs notably better than the Fama and French three-factor model.However, there is no notable difference in the findings either the financial sector is included or not. </p>


1993 ◽  
Vol 19 (4) ◽  
pp. 63-72 ◽  
Author(s):  
William R Reichenstein ◽  
Steven P. Rich

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