scholarly journals The impact of liquidity and size premium on equity price formation in Serbia

2012 ◽  
Vol 57 (195) ◽  
pp. 43-78 ◽  
Author(s):  
Jelena Minovic ◽  
Bosko Zivkovic
Keyword(s):  
Asset Pricing ◽  
Stock Returns ◽  
Firm Size ◽  
Market Value ◽  
Asset Returns ◽  
Factor Models ◽  
Price Formation ◽  
Good Tool ◽  
Equity Price ◽  
The Impact

The goal of this paper is to examine the impact of an overall market factor, the factor related to the firm size, the factor related to the ratio of book to market value of companies, and the factor of liquidity risk on expected asset returns in the Serbian market. For this market we estimated different factor models: Capital Asset Pricing Model (CAPM by Sharpe, 1964), Fama-French (FF) model (1992, 1993), Liquidity-augmented CAPM (LCAPM) by Liu (2006), and combination LCAPM with FF factors. We used daily data for the period from 2005 to 2009. Using a demanding methodology and complex dataset, we found that liquidity and firm size had a significant impact on equity price formation in Serbia. On the other hand, our results suggest that the factor related to the ratio of book to market value of companies does not have an important role in asset pricing in Serbia. We found that Liu?s two factor LCAPM model performs better in explaining stock returns than the standard CAPM and the Fama-French three factor model. Additionally, Liu?s LCAPM may indeed be a good tool for realistic assessment of the expected asset returns. The combination of the Fama-French model and the LCAPM could improve the understanding of equilibrium in the Serbian equity market. Even though previous papers have mostly dealt with examining different factor models of developed or emerging markets worldwide, none of them has tested factor models on the countries of former Yugoslavia. This paper is the first to test the FF model and LCAPM with FF factors in the case of Serbia and the area of ex-Yugoslavia.

scholarly journals Open issues in testing liquidity in frontier financial markets: The case of Serbia

2010 ◽  
Vol 55 (185) ◽  
pp. 33-62 ◽  
Author(s):  
Jelena Minovic ◽  
Bosko Zivkovic
Keyword(s):  
Liquidity Risk ◽  
Asset Returns ◽  
Price Formation ◽  
Capital Asset Pricing ◽  
Good Tool ◽  
Asset Pricing Model ◽  
Daily Data ◽  
Realistic Assessment ◽  
The Impact ◽  
Open Issues

This paper examines the impact of illiquidity and liquidity risk on expected asset returns in the Serbian stock market. For this market we estimate the conditional Liquidity-adjusted Capital Asset Pricing Model (LCAPM) of Acharya and Pedersen (2005). We use daily data for the period from 2005-2009. While the method developed is applicable in other markets this is the first paper that tests the LCAPM model in the case of Serbia. Liquidity risks are allowed to be timevarying. We find that for the Serbian market as a frontier market illiquidity and liquidity risk significantly impact price formation. For such a market the LCAPM may indeed be a good tool for realistic assessment of the expected asset returns.

Freedom Indices and Capital Asset Pricing Model: Some Malaysian Evidence

2020 ◽  
Vol 1 (1) ◽  
pp. 1-21
Author(s):  
Ying Tay Lee ◽  
Devinaga Rasiah ◽  
Ming Ming Lai
Keyword(s):  
Human Rights ◽  
Asset Pricing ◽  
Stock Returns ◽  
Firm Size ◽  
Explanatory Power ◽  
Least Square ◽  
Press Freedom ◽  
Capital Asset Pricing ◽  
Capital Asset ◽  
Cross Sectional

Human rights and fundamental freedoms such as economic, political, and press freedoms vary widely from country to country. It creates opportunity and risk in investment decisions. Thus, this study is carried out to examine if the explanatory power of the model for capital asset pricing could be improved when these human rights movement indices are included in the model. The sample for this study comprises of 495 stocks listed in Bursa Malaysia, covering the sampling period from 2003 to 2013. The model applied in this study employed the pooled ordinary least square regression estimation. In addition, the robustness of the model is tested by using firm size as a controlled variable. The findings show that market beta as well as the economic and press freedom indices could explain the cross-sectional stock returns of the Malaysian stock market. By controlling the firm size, it adds marginally to the explanation of the extended CAP model which incorporated economic, political, and press freedom indices.

scholarly journals Does Financial Performance Matter? Evidence on the Impact of Liquidity and Firm Size on Stock Return in Indonesia

2020 ◽  
Vol 11 (4) ◽  
pp. 546
Author(s):  
Mochammad Chabachib ◽  
Ike Setyaningrum ◽  
Hersugondo Hersugondo ◽  
Intan Shaferi ◽  
Imang Dapit Pamungkas
Keyword(s):  
Stock Returns ◽  
Firm Size ◽  
Significant Relationship ◽  
Stock Return ◽  
Stock Exchange ◽  
Mediating Effect ◽  
Return On Equity ◽  
Stock Investment ◽  
Equity Ratio ◽  
The Impact

In the modern era, stock investment can attract domestic investors or foreign investors. The objective is to invest their funds at the capital market that expect higher stock returns. The study aims to analyze factors that can affect stock returns and know the mediating effect of return on equity. The object of this research is the property and real estate sector that is listed on the Indonesia Stock Exchange from 2013 to 2018. This research used debt to equity ratio, current ratio, total asset turnover, firm size as independent variables and stock returns as dependent variables. Path analysis is used as reseach method tools with SMART PLS.The result says that debt to equity ratio and return on equity has a positive significant relationship with stock return, meanwhile firm size has a significant negative significant relationship with stock returns. Furthermore, return on equity can mediate the relationship between debt and equity ratios to stock returns.

Liquidity and real estate asset pricing: a pan-European study

2014 ◽  
Vol 7 (1) ◽  
pp. 59-86 ◽  
Author(s):  
Alexander Scholz ◽  
Stephan Lang ◽  
Wolfgang Schaefers
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Asset Pricing ◽  
Real Estate ◽  
Stock Returns ◽  
Systematic Risk ◽  
Time Series Regression ◽  
Content Type ◽  
Market Factors ◽  
The Impact

Purpose – Understanding the pricing of real estate equities is a central objective of real estate research. This paper aims to investigate the impact of liquidity on European real estate equity returns, after accounting for well-documented systematic risk factors. Design/methodology/approach – Based on risk factors derived from general equity data, the authors extend the Fama-French time-series regression approach by a liquidity factor, using a pan-European sample of 272 real estate equities. Findings – The empirical results indicate that liquidity is a significant pricing factor in real estate stock returns, even after controlling for market, size and book-to-market factors. In addition, the authors detect that real estate stock returns load predominantly positively on the liquidity risk factor, suggesting that real estate equities tend to behave like illiquid common equities. These findings are underpinned by a series of robustness checks. Running a comparative analysis with alternative factor models, the authors further demonstrate that the liquidity-augmented asset-pricing model is most appropriate for explaining European real estate stock returns. Research limitations/implications – The inclusion of sentiment and downside risk factors could provide further insights into real estate asset pricing in European capital markets. Originality/value – This is the first study to examine the role of liquidity as a systematic risk factor in a pan-European setting.

scholarly journals MODEL PREDIKSI FINANCIAL DISTRESS : PENGARUHNYA TERHADAP KINERJA SAHAM INDUSTRI TEKSTIL DAN GARMEN DI INDONESIA

BISMA ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 1
Author(s):  
Suskim Riantani ◽  
Sherly Delvia ◽  
Gugun Sodik
Keyword(s):  
Stock Returns ◽  
Financial Distress ◽  
Descriptive Analysis ◽  
Market Value ◽  
Garment Industry ◽  
Z Score ◽  
Financial Problems ◽  
Verification Methods ◽  
The Impact ◽  
Retained Earnings

This study aims to predict the possibility of Financial distress in the textile and garment industry using the Altman Z-score prediction model and analyze the impact of Financial distress on the company's stock performance as measured by stock returns. This research used descriptive analysis and verification methods. Applying a purposive sampling method, the research sample consisted of 15 issuers from the textile and garment industry during the observation period of 2012-2016. This research used panel data regression to analyze research data. The results showed that one company did not experience financial problems, one company had potential financial problems, and the 13 other companies experienced Financial distress. The results of model testing showed that Altman Z-score can be used to predict Financial distress conditions in the textile and garment industry for the 2012-2016 period. The results of hypothesis testing showed that only one ratio of the Altman Z-score model has a significant effect on stock returns, i.e., market value of equity to book value of debt, while other ratios of working capital to total assets, retained earnings to total assets, earnings before interest and taxes to total assets, and sales to total assets have no significant effect on stock returns. These findings imply that the investors in the textile and garment industry attentively observe the company's market value in making any investment decisions. Keywords: Altman Z-score, Financial distress, stock returns, textile and garment industry

Corporate Diversification, Manager's Incentive, And Shareholder Wealth

2011 ◽  
Vol 17 (3) ◽  
Author(s):  
C. Joe Ueng ◽  
Donald W. Wells
Keyword(s):  
Stock Returns ◽  
Market Value ◽  
Shareholder Wealth ◽  
Corporate Diversification ◽  
Font Size ◽  
Acquiring Firms ◽  
The Impact ◽  
Incentive Ratio ◽  
Equity Holdings

<p class="MsoNormal" style="text-align: justify; margin: 0in 37.8pt 0pt 0.5in; mso-pagination: widow-orphan; tab-stops: -4.5pt .5in 1.0in 1.5in 2.0in 2.5in 3.0in 3.5in 4.0in 4.5in 5.0in 5.5in 6.0in;"><span style="font-family: Batang; font-size: x-small;">This study examines the impact of managers' incentives and corporate diversification on the returns to shareholders of acquiring firms in acquisition activities. Managers' incentives are measured by creating an incentive ratio (IR). The IR is constructed by dividing the market value of the equity holdings of the three managers with the largest equity shareholding within the firm by their annual compensation. We hypothesize that managers with a high IR are more likely to undertake acquisitions that benefit the shareholders of the acquiring firm than are managers with a low IR. We further hypothesize that the acquisition of a firm that is a focused acquisition (i.e., same industry) will produce greater returns to the acquiring firm's shareholders than will diversified acquisitions.<span style="mso-spacerun: yes;">&nbsp; </span>Results indicate significant positive returns to acquiring firms whose managers have high IRs. While diversified acquisitions produce insignificant negative stock returns, focused acquisitions, on average, generate significant positive stock returns for acquiring firms. Results also suggest that managers with a low IR consistently undertake more diversified acquisitions than focused acquisitions, that the group with the combination of high IRs and focused acquisitions produces the highest returns among four groups, and that the group with the opposite combination produces the lowest returns.</span></p>

The role of efficiency in capital asset pricing: a research on Nasdaq technology sector

2020 ◽  
Vol 46 (11) ◽  
pp. 1479-1493
Author(s):  
Hakan Aygoren ◽  
Emrah Balkan
Keyword(s):  
Asset Pricing ◽  
Stock Returns ◽  
Factor Model ◽  
Explanatory Power ◽  
Efficiency Factor ◽  
Capital Asset Pricing ◽  
Capital Asset ◽  
Content Type ◽  
The Impact ◽  
Three Factor

PurposeThe aim of this study is to investigate the role of efficiency in capital asset pricing. The paper explores the impact of a four-factor model that involves an efficiency factor on the returns of Nasdaq technology firms.Design/methodology/approachThe paper relies on data of 147 firms from July 2007 to June 2017 to examine the impact of efficiency on stock returns. The performances of the capital asset pricing model (CAPM), Fama–French three-factor model and the proposed four-factor model are evaluated based on the time series regression method. The parameters such as the GRS F-statistic and adjusted R² are used to compare the relative performances of all models.FindingsThe results show that all factors of the models are found to be valid in asset pricing. Also, the paper provides evidence that the explanatory power of the proposed four-factor model outperforms the explanatory power of the CAPM and Fama–French three-factor model.Originality/valueUnlike most asset pricing studies, this paper presents a new asset pricing model by adding the efficiency factor to the Fama–French three-factor model. It is documented that the efficiency factor increases the predictive ability of stock returns. Evidence implies that investors consider efficiency as one of the main factors in pricing their assets.

The Impact of Smoking Bans on the Hospitality Industry: New Evidence from Stock Market Returns

2009 ◽  
Vol 9 (1) ◽  
Author(s):  
Jonathan T. Tomlin
Keyword(s):  
Stock Returns ◽  
Hospitality Industry ◽  
Market Value ◽  
Smoking Ban ◽  
Smoking Bans ◽  
Market Returns ◽  
Stock Market Returns ◽  
Abnormal Stock Returns ◽  
The Impact ◽  
New Evidence

Abstract The majority of over 150 studies conclude that smoking bans do not have adverse effects on the revenues, profits, or employment of hospitality industry firms. However, several important criticisms have recently been raised which call into question many of the prior results. I examine the market value impact of a proposed smoking ban using a sample and methodology not subject to the perceived shortcomings in prior studies – an event study on the Indian hospitality industry. Contrary to the results in most prior studies, I find negative abnormal stock returns to portfolios of the hospitality industry firms examined upon the announcement of a proposed smoking ban. These results support the conclusion that a smoking ban lowered the aggregate market value of these firms.

scholarly journals Relationship Between Capital Structure and Stock Returns of Jordanian Commercial Banks

2020 ◽  
Vol 13 (2) ◽  
pp. 100
Author(s):  
Sufian Radwan Al-Manaseer
Keyword(s):  
Capital Structure ◽  
Stock Returns ◽  
Firm Size ◽  
Commercial Banks ◽  
Negative Impact ◽  
Positive Impact ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
The Impact ◽  
The Relationship

This study aims to analyze the relationship between capital structure and stock returns of Jordanian banks listed on the Amman Stock Exchange from 2009 to 2018. The study sample is composed of 13 commercial banks in Jordan. The e-views program is used to conduct the statistical analysis of study variables. Initially, a simple linear regression analysis is conducted to determine the impact of capital structure as measured by financial leverage on stock returns and vice versa. Then, several control variables are added: growth in assets, liquidity, firm size, and profitability. This study has found that growth, capital structure, and profitability have a positive impact on stock returns. By contrast, liquidity and firm size have a negative impact on stock returns. Stock returns and firm size have a positive impact on capital structure, whereas liquidity, growth, and profitability have a negative impact on capital structure.

scholarly journals Size, Value, and Momentum in Polish Equity Returns: Local or International Factors?

2017 ◽  
Vol 53 (3) ◽  
pp. 26-47 ◽  
Author(s):  
Adam Zaremba ◽  
Przemysław Konieczka
Keyword(s):  
Asset Pricing ◽  
Stock Returns ◽  
Factor Models ◽  
Equity Returns ◽  
Capital Asset Pricing ◽  
Cross Sectional ◽  
Size Premium ◽  
Weak Evidence ◽  
Level Data ◽  
Three Factor

Abstract This paper tests the performance of the Capital Asset Pricing Model (CAPM) and the Fama-French three-factor and Carhart four-factor models on the Polish market. We use stock level data from April 2001 to January 2014 and find strong evidence for value and momentum effects, but only weak evidence for size premium. We formed portfolios double-sorted on size and book-to-market ratios, as well as on size and momentum, and we explain their returns with the above-mentioned asset pricing models. The CAPM is rejected and the three-factor and four-factor models perform well for the size and B/M sorted portfolios, but fail to explain returns on the size and momentum sorted portfolios. With the exception of the momentum factor, local Polish factors are not correlated with their European and global counterparts, suggesting market segmentation. Finally, the international value, size and momentum factors perform poorly in explaining cross-sectional variation in stock returns on the Polish market.

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