Australian Firm Characteristics and Cross-Sectional Variation in Equity Returns

2014 ◽  
Author(s):  
Richard A. Heaney ◽  
SzeKee Koh ◽  
Yihui Lan
Keyword(s):  
Equity Returns ◽  
Firm Characteristics ◽  
Cross Sectional

Firm Characteristics, Relative Efficiency, and Equity Returns

2009 ◽  
Vol 44 (1) ◽  
pp. 213-236 ◽  
Author(s):  
Giao X. Nguyen ◽  
Peggy E. Swanson
Keyword(s):  
Explanatory Power ◽  
Stochastic Frontier ◽  
Efficiency Score ◽  
Equity Returns ◽  
Firm Characteristics ◽  
Stochastic Frontier Approach ◽  
Cross Sectional ◽  
Firm Efficiency ◽  
The Difference ◽  
Sectional Analysis

AbstractThis study uses a stochastic frontier approach to evaluate firm efficiency. The resulting efficiency score, based on firm characteristics, is the input for performance evaluation. The portfolio composed of highly efficient firms significantly underperforms the portfolio composed of inefficient firms even after adjustment for firm characteristics and risk factors, suggesting a required premium for the inefficient firms. The difference in performance between the two portfolios remains for at least five years after the portfolio formation year. In addition, firm efficiency exhibits significant explanatory power for average equity returns in cross-sectional analysis.

Clients’ means of influence on mortgage valuation in Nigeria

2015 ◽  
Vol 33 (4) ◽  
pp. 367-385 ◽  
Author(s):  
Chukwuma C. Nwuba ◽  
Uche S. Egwuatu ◽  
Babatunde M. Salawu
Keyword(s):  
Risk Mitigation ◽  
Hierarchical Linear Model ◽  
Firm Characteristics ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Content Type ◽  
Mortgage Valuation ◽  
Research Designs ◽  
Client Pressure ◽  
The Impact

Purpose – The purpose of this paper is to investigate client influence on mortgage valuation in Nigeria to establish and rank the means of influence clients employ, and the impact of firm characteristics on client influence. Design/methodology/approach – A combination of cross-sectional survey and focus groups research designs was adopted. Questionnaire structured on five-point Likert format was used to collect data from a sample of valuation firms in five Nigerian cities. Descriptive statistics, χ2, and moderated hierarchical linear model were used for data analysis. Findings – Clients’ means of influence on valuation are more of subtle approach than threat or coercion. The most prevalent means are respectively, plea for assistance, promise of continued retainership on banks’ valuer panels, and disclosing the loan amount. Client influence differs across cities; firm characteristics have no influence on client pressure. Practical implications – The research provides basis for valuation bodies to review practice rules and standards and seek for legislation for valuer independence. It can serve as material for teaching and training in professional ethics. Social implications – Biased valuations jeopardises credit risk mitigation process with potential for destabilising banks, finance sector, and consequences for the economy. Originality/value – The study provides empirical evidence of the nature of client influence across several major Nigerian cities. In contrast to existing Nigerian studies that focus on single cities, the study covers several cities. It therefore provides a broad basis for problem-solving and decision-making.

scholarly journals Capturing Profitability in Asset Pricing Models for Japanese Equities 1994-2016

2018 ◽  
Vol 10 (5) ◽  
pp. 254
Author(s):  
Dong Liu ◽  
Hiroshi Yadohisa
Keyword(s):  
Stock Returns ◽  
Factor Model ◽  
Economic Value ◽  
Equity Returns ◽  
Net Income ◽  
Cross Sectional ◽  
Operating Profit ◽  
Asset Pricing Models ◽  
Profitability Premium ◽  
Value Model

We follow Ball et al. (2015) to investigate and compare firms’ gross profit, operating profit, and net income as predictors of returns for a cross-section of traded Japanese equities spanning 1994-2016. We test the predictive power of profit measures on cross-sectional stock returns using portfolio tests and Fama-MacBeth regressions, find that gross-profit-to-book-equity significantly predict returns on sampled stocks. Consistent with Novy-Marx (2013), we also find that sorting portfolios by gross profitability and book-to-market ratios outperform in the Japanese market. Hence, we create a Market-Profitability-Value model that captures value and profitability premium among returns of sampled stocks. Based on Gibbons-Ross-Shanken test and economic value, we demonstrate that our enhanced model outperforms Fama–French multiple-factor model in isolating influences on equity returns.

What Does the Individual Option Volatility Smirk Tell Us About Future Equity Returns?

2010 ◽  
Vol 45 (3) ◽  
pp. 641-662 ◽  
Author(s):  
Yuhang Xing ◽  
Xiaoyan Zhang ◽  
Rui Zhao
Keyword(s):  
Predictive Power ◽  
Equity Market ◽  
Equity Returns ◽  
Cross Sectional ◽  
Put Options ◽  
Negative News ◽  
Informed Traders ◽  
The Individual

AbstractThe shape of the volatility smirk has significant cross-sectional predictive power for future equity returns. Stocks exhibiting the steepest smirks in their traded options underperform stocks with the least pronounced volatility smirks in their options by 10.9% per year on a risk-adjusted basis. This predictability persists for at least 6 months, and firms with the steepest volatility smirks are those experiencing the worst earnings shocks in the following quarter. The results are consistent with the notion that informed traders with negative news prefer to trade out-of-the-money put options, and that the equity market is slow in incorporating the information embedded in volatility smirks.

Dynamic conditional betas and equity returns

2020 ◽  
Vol 07 (04) ◽  
pp. 2050035
Author(s):  
Salvatore Joseph Terregrossa ◽  
Veysel Eraslan
Keyword(s):  
Cross Product ◽  
Equity Returns ◽  
Excess Return ◽  
Cross Sectional ◽  
New Approach ◽  
Product Term ◽  
Conditional Beta ◽  
Conditional Betas ◽  
Empirical Methodology ◽  
Cross Product Term

Our study makes use of a new approach to estimate time-varyingbetas with an application of the corrected Dynamic Conditional Correlation (cDCC) model. Our empirical methodology encompasses an examination of predictive relations between equity return and different specifications of dynamic conditional beta, using cross-sectional regression analysis at both the portfolio and firm levels. Our main finding is a significant, positive relation between equity excess return and an interactive cross product term of dynamic conditional beta and market excess return ([Formula: see text]); suggesting that equity return is largely determined by an interaction effect between dynamic beta and market return.

scholarly journals Testing Beta-Pricing Models Using Large Cross-Sections

2019 ◽  
Vol 33 (6) ◽  
pp. 2796-2842 ◽  
Author(s):  
Valentina Raponi ◽  
Cesare Robotti ◽  
Paolo Zaffaroni
Keyword(s):  
Cross Sections ◽  
Risk Premia ◽  
Expected Returns ◽  
Firm Characteristics ◽  
Pricing Models ◽  
Cross Sectional ◽  
Misspecified Models ◽  
Oxford University ◽  
Fama French Factors ◽  
Published Paper

Abstract We propose a methodology for estimating and testing beta-pricing models when a large number of assets is available for investment but the number of time-series observations is fixed. We first consider the case of correctly specified models with constant risk premia, and then extend our framework to deal with time-varying risk premia, potentially misspecified models, firm characteristics, and unbalanced panels. We show that our large cross-sectional framework poses a serious challenge to common empirical findings regarding the validity of beta-pricing models. In the context of pricing models with Fama-French factors, firm characteristics are found to explain a much larger proportion of variation in estimated expected returns than betas. 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.

scholarly journals Systemic Risk Modeling

2020 ◽  
Vol 20 (54) ◽  
Author(s):  
Raphael Espinoza ◽  
Miguel Segoviano ◽  
Ji Yan
Keyword(s):  
Theoretical Model ◽  
Empirical Model ◽  
Systemic Risk ◽  
Empirical Models ◽  
Equity Returns ◽  
Counterparty Risk ◽  
Risk Modeling ◽  
Cross Sectional ◽  
Fire Sales ◽  
Multivariate Density

We propose a framework to link empirical models of systemic risk to theoretical network/ general equilibrium models used to understand the channels of transmission of systemic risk. The theoretical model allows for systemic risk due to interbank counterparty risk, common asset exposures/fire sales, and a “Minsky" cycle of optimism. The empirical model uses stock market and CDS spreads data to estimate a multivariate density of equity returns and to compute the expected equity return for each bank, conditional on a bad macro-outcome. Theses “cross-sectional" moments are used to re-calibrate the theoretical model and estimate the importance of the Minsky cycle of optimism in driving systemic risk.

scholarly journals The Determinants of the Stock Price Performance of Analyst Recommendations

2019 ◽  
Vol 15 (11) ◽  
pp. 25
Author(s):  
Yaling Lin ◽  
Liang-Chien Lee ◽  
Tsung-Li Chi ◽  
Chen-Chang Lo ◽  
Wai-Shen Chung
Keyword(s):  
Stock Price ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Market Model ◽  
Firm Characteristics ◽  
Cross Sectional ◽  
Insider Ownership ◽  
Taiwan Stock Exchange ◽  
Price Performance ◽  
Abnormal Performance

This study examines the cross-sectional determinants of the price reaction to analysts’ recommendations disseminated through various type of media and for firms listed in Taiwan stock markets. We measure abnormal returns using the market model of event study. Based on the type of media (traditional media/social media) and the type of exchange (Taiwan Stock Exchange (TWSE)/Taipei Exchange (TPEx)), we classify the combined sample observations into four samples and run quantile regressions to investigate whether the relation will be uniform across various quantile levels. Our results show that the relation between firm characteristics and cumulative abnormal returns is not homogeneous across various quantiles of abnormal returns. Our evidence indicates that in general the relation tends to be stronger for firms at higher performance quantile levels and tends to be more pronounced for TWSE firms. The strongest relation is found for the Traditional/TWSE sample, where the abnormal returns are positively related to insider ownership and prior-period earnings, and negatively related to institutional shareholding and price-to-book ratio for firms in the highest abnormal performance quantile.

Sign in / Sign up

Export Citation Format

Share Document