scholarly journals The Functionality of Book-to-Market Ratio in Chinese Markets

2018 ◽  
Vol 2 (2) ◽  
pp. 50
Author(s):  
Larry Li ◽  
Adela McMurray ◽  
Bo Liu
Keyword(s):  
Stock Returns ◽  
Strong Relationship ◽  
Share Price ◽  
Price Formation ◽  
Leverage Ratio ◽  
Chinese Markets ◽  
Book To Market Ratio

We investigate the question whether the book to market ratio acts as a “risk-based” or “mispricing-based” proxy for share price formation in Chinese markets. We find that a strong relationship is observed between the firms’ book to market ratio and stock returns both in current and following years, while we cannot find a steady relationship between market leverage ratio and stock returns. In addition, the findings support the notion that a mispricing-based explanation is more plausible in China due to the speculative features of the Chinese markets.

Discretionary Risk Disclosures

2003 ◽  
Vol 78 (2) ◽  
pp. 449-469 ◽  
Author(s):  
Bjorn N. Jorgensen ◽  
Michael T. Kirschenheiter
Keyword(s):  
Stock Returns ◽  
Risk Premium ◽  
Voluntary Disclosure ◽  
Cash Flows ◽  
Share Price ◽  
Risk Disclosure ◽  
Share Prices ◽  
Ex Post ◽  
Partial Disclosure ◽  
Future Cash Flows

We model managers' equilibrium strategies for voluntarily disclosing information about their firm's risk. We consider a multifirm setting in which the variance of each firm's future cash flow is uncertain. A manager can disclose, at a cost, this variance before offering the firm for sale in a competitive stock market with risk-averse investors. In our partial disclosure equilibrium, managers voluntarily disclose if their firm has a low variance of future cash flows, but withhold the information if their firm has highly variable future cash flows. We establish how the manager's discretionary risk disclosure affects the firm's share price, expected stock returns, and beta, within the framework of the Capital Asset Pricing Model. We show that whereas one manager's discretionary disclosure of his firm's risk does not affect other firms' share prices, it does affect the other firms' betas. Also, we demonstrate that a disclosing firm has lower risk premium and beta ex post than a nondisclosing firm. Finally, we show that ex ante, the expected risk premium and expected beta of each firm are higher under a mandatory risk disclosure regime than in the partial disclosure equilibrium that arises under a voluntary disclosure regime.

Research of Building Intelligent Investment Decision Mode for Investment Portfolio — Using Taiwan Electronic Stock as an Example

2010 ◽  
Vol 13 (04) ◽  
pp. 621-645 ◽  
Author(s):  
Wen-Rong Jerry Ho ◽  
C. H. Liu ◽  
H. W. Chen
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Stock Exchange ◽  
Investment Decision ◽  
Investment Strategy ◽  
Return Rate ◽  
Selection Strategy ◽  
Stock Selection ◽  
Taiwan Stock Exchange ◽  
Book To Market Ratio

This research uses all of the listed electronic stocks in the Taiwan Stock Exchange as a sample to test the performance of the return rate of stock prices. In addition, this research compares it with the electronic stock returns. The empirical result shows that no matter which kind of stock selection strategy we choose, a majority of the return rate is higher than that of the electronics index. Evident in the results, the predicted effect of BPNN is better than that of the general average decentralized investment strategy. Furthermore, the low price-to-earning ratio and the low book-to-market ratio have a significant long-term influence.

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 The influence of conference calls’ semantic characteristics on the company market performance: Text analysis

2019 ◽  
Vol 5 (3) ◽  
pp. 297-320
Author(s):  
Elena Fyodorova ◽  
Ruslan Sayakhov ◽  
Igor Demin ◽  
Dmitriy Afanasyev
Keyword(s):  
Stock Returns ◽  
Semantic Analysis ◽  
Share Price ◽  
Stock Exchanges ◽  
Annual Conference ◽  
Company Performance ◽  
Conference Calls ◽  
Conference Call ◽  
Public Companies ◽  
Corporate Social

The purpose of the study is to find out the influence of semantic (emotional coloring, length and complexity of the text) and thematic features (environmental, corporate-social and legal context) of conference calls with market analysts and investors on future company performance (CAR) and analysts’ recommendation for the share. The empirical framework of the research includes annual conference calls of public companies on the Moscow (MOEX) and London Stock Exchanges (LSE) from 2015 to 2019. The research methodology is based on the semantic analysis of the call text by using the linguistic dictionaries NRC 2010 and Corporate Social Responsibility 2016. The results of the study illustrate the significant impact of textual features of the conference call (the general tone of the call, the tone of management and the negative tone of analysts, the length and complexity of the text) on the abnormal stock returns (for 3, 14, 30 days). This relation is consistent for companies of both stock exchanges, but diverges in terms of the influence of the thematic characteristics of the call that can be explained by the mandatory disclosure of this information by European public companies (ESG Reports), as opposed to voluntary publication by Russian companies. The results can be applied both by the management of public companies in order to improve companies’ attractiveness (perception and transparency) and its market value in the short and medium-term period, and by investors to manage effectively the portfolio by predicting the future dynamics of the company’s share price after a conference call based on semantic tone and thematic features.

Are Shocks Asymmetric to Volatility of Chinese Stock Markets?

2004 ◽  
Vol 07 (03) ◽  
pp. 379-395 ◽  
Author(s):  
Wei-Chiao Huang ◽  
Yuanlei Zhu
Keyword(s):  
Stock Returns ◽  
Stock Markets ◽  
Garch Model ◽  
Leverage Effect ◽  
Arch Models ◽  
Before And After ◽  
Chinese Markets ◽  
Chinese Stock Markets ◽  
Better Than ◽  
A Share

This paper uses ARCH models to examine if there is a leverage effect and also to test if A- and B-share holdings have different risks in Chinese stock markets before and after B-share markets open to domestic investors in February 2001. The empirical results suggest that leverage effect was not present and shocks have symmetric impact on the volatility of Chinese B-share stock returns in both periods and A-share returns in Period I. Thus GARCH model would be a better model to fit the Chinese B-share stock returns than EGARCH or GJR-GARCH model. But EGARCH or GJR-GARCH model fits recent (Period II) A-share markets data better than GARCH model. Another finding of this paper is that holding A- or B-share bears different risk in returns in the two Chinese markets. Furthermore, news or shocks have a larger impact on volatility of B-share returns in Period I than in Period II.

Do firms harvest from political connections during general elections? Case of Pakistan

2020 ◽  
Vol 27 (1) ◽  
pp. 258-273
Author(s):  
Ayesha Ashraf ◽  
M. Kabir Hassan ◽  
Khurram Abbas ◽  
Qamar Uz Zaman
Keyword(s):  
Stock Returns ◽  
Abnormal Returns ◽  
Share Price ◽  
Market Model ◽  
Political Connections ◽  
Content Type ◽  
Connected Group ◽  
Playing Field ◽  
General Elections ◽  
The Impact

Purpose This paper aims to examine the impact of general elections on the stock returns of the politically connected group affiliated firms of Pakistan. Design/methodology/approach This study uses the market model to assess the impact of political connections (PCs) on abnormal stock returns, before and after election events. We have used share price data of non-financial firms of Pakistan for the years 2008-2013. Findings It has been found that behavior of cumulative average abnormal returns (CAAR) is significantly different for standalone and politically connected group affiliated firms. The results reveal that CAARs of politically connected group affiliated firms have experienced less deviation as compared to stand alone firms. Therefore, it is argued that politically connected group firms may reduce the impact of political uncertainty on stock returns in comparison to stand alone firms. Practical implications This study is helpful for policy regulators of Pakistan to devise appropriate policies to maintain a level playing field for politically connected and standalone firms. Originality/value This study provides a new dimension to understand the role and association of PCs and general elections with stock markets returns.

scholarly journals Predicting Stock Return of UAE Listed Companies Using Financial Ratios

2019 ◽  
Vol 8 (2) ◽  
pp. 214
Author(s):  
Arindam Banerjee
Keyword(s):  
Stock Returns ◽  
Stock Return ◽  
Share Price ◽  
Financial Ratios ◽  
P Value ◽  
Dividend Yield ◽  
Value Analysis ◽  
Return On Equity ◽  
Equity Ratio ◽  
The Impact

Over the past few decades, numerous research across the globe has been conducted to examine the impact of firm performance on its stock return. The findings of these studies have been varied. In spite of the long standing research in this area, several attempt towards exploring this relationship has led to limited success owing largely to the existence of volatility across different stock markets. The variance in the volatility in these markets make it extremely difficult to obtain a uniform measure. A volatile stock market makes it difficult for the accounting and financial variables to accurately predict the stock returns (Feris & Erin, 2018).  The primary aim of this paper is aimed to investigate whether financial ratios can be used as a predictor of stock returns in the context of United Arab Emirates (UAE). The sample of the study includes thirty companies from the Dubai Financial Market (DFM) and Abu Dhabi stock exchange (ADX). Data is collected for the period of 2017. This research comprises of five independent variables namely, Earning Per Share ratio (EPS), Price Earning ratio (PE), Return on Equity ratio (ROE), Dividend Yield ratio (DY) and Debt Equity ratio (DE) and stock return is taken as the dependent variable. The study examines which among the given ratios can better predict stock returns both in the short run and the long run. The analysis is based on the regression analysis and correlation matrix. The results of correlation test revealed less multicollinearity between the variables and the regression results showed that Dividend Yield and the Return on Equity are statistically significant to predict the stock returns. However, Earning Per Share, Price Earning and Debt Equity could not predict the stock returns and thus can be safely considered as statistically insignificant. The t-stats test and p-value analysis were key indicators for arriving at the conclusion. The study can significantly benefit investors who can examine closely the dividend yield and return on equity while selecting an optimal portfolio. 

scholarly journals LIQUIDITY AS AN ASSET PRICING FACTOR IN THE UK

2018 ◽  
Vol 06 (02) ◽  
pp. 1850008
Author(s):  
PANAYIOTIS G. ARTIKIS
Keyword(s):  
Risk Factor ◽  
Asset Pricing ◽  
Stock Returns ◽  
Global Financial Crisis ◽  
Residual Effect ◽  
Strong Relationship ◽  
Original Form ◽  
Stock Liquidity ◽  
Traditional Risk Factors ◽  
The Uk

This study examines whether there is a strong relationship between stock liquidity, which proxies for the implicit cost of trading shares, and future stock returns in an asset-pricing context in the UK stock market. The time period, 1994–2016, includes the most recent global financial crisis that drained liquidity from financial markets worldwide. Four different measures of stock liquidity are employed; the empirical findings indicate that liquidity is a systematic pricing factor and explains a significant portion of the variation in stock returns, even after the inclusion of the other traditional risk factors. The results are robust to both forms of liquidity, either as a residual effect or in its original form as a separate risk factor. Finally, for the first time quantile regression is applied, showing that the liquidity risk factor (LIQ) absorbs a significant portion of the information content of the size and value factors, while remaining independent of the momentum factor.

scholarly journals Book-to-Market Ratio, return on equity and Brazilian Stock Returns

2018 ◽  
Vol 53 (3) ◽  
pp. 324-344 ◽  
Author(s):  
Rebeca Cordeiro da Cunha Araújo ◽  
Márcio André Veras Machado
Keyword(s):  
Risk Factors ◽  
Stock Returns ◽  
Capital Market ◽  
Explanatory Power ◽  
Predictor Variable ◽  
Liquidity Premium ◽  
Future Expectations ◽  
Content Type ◽  
Return On Equity ◽  
Book To Market Ratio

Purpose This study aims to analyze the influence of future expectations of the book-to-market ratio (B/M) and return on equity (ROE) in explaining the Brazilian capital market returns. Design/methodology/approach The study analyzed the explanatory power of risk-factor approach variables such as beta, size, B/M ratio, momentum and liquidity. Findings The results show that future expectations of the B/M ratio and ROE, when combined with proxies for risk factors, were able to explain part of the variations of Brazilian stock returns. With respect to risk factors approach variables, the authors verified the existence of size and B/M effects and a liquidity premium in the Brazilian capital market, during the period analyzed. Research limitations/implications This research was limited to the non-financial companies with shares traded at Brasil, Bolsa and Balcão, from January 1, 1995 to June 30, 2015. This way, the conclusions reached are limited to the sample used herein. Practical implications The evidences herein presented can also contribute to establishing investment strategies, considering that the B/M ratio may be calculated through accounting information announced by companies. Besides, using historical data enable investors, in a specific year, to calculate the predictor variables for the B/M ratio and ROE in the next year, which enhance the explanatory power of the current B/M, when combined in the form of an aggregate predictor variable for stock returns. Originality/value The main contribution of this study to the literature is to demonstrate how the expected future B/M ratio and ROE may improve the explanatory capacity of the stock return, when compared with the variables traditionally studied in the literature.

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