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The authors assess which brand asset metrics provide incremental information content to accounting performance measures in explaining stock return. The analysis focuses on the five pillars (i.e., central brand attributes) that form the basis for the newly updated Young & Rubicam Brand Asset Valuator model: differentiation, relevance, esteem, knowledge, and energy. Analysis shows that perceived brand relevance and energy provide incremental information to accounting measures in explaining stock returns. However, esteem and knowledge do not; that is, their effects are reflected in current-term accounting measures and in brand relevance and energy. The financial markets do not view brand differentiation as having incremental information content, but they should. Changes in differentiation are indicative of future-term accounting performance, which in turn affects stock return. These conclusions are invariant to the use of alternative accounting performance measures, risk adjustments, and the inclusion of additional brand attributes into the analysis. [ABSTRACT FROM AUTHOR]

• Investigate whether markets in happier countries are less affected by tragic events. • 71 global stock market indices; an event study. • Immediate impact of the Israel–Hamas conflict on stock market returns. • Stock indices from happier nations are more resilient to geopolitical events. Do happier people care more, or less, about other people's problems? Indirectly to this question we investigate whether markets in happier countries are less affected by tragic events. Using a sample of 71 global stock market indices, we employ an event study method to analyze the immediate impact of the Israel–Hamas conflict on stock market returns. We find that stock indices from happier nations are more resilient to this geopolitical event. While the overall cumulative effect of the war remained largely negative, the Europe, Middle East, and Africa markets demonstrated heightened vulnerability to the conflict. [ABSTRACT FROM AUTHOR]

Abstract. This study aims to investigate how national cultures affect stock market returns across the BRICS economies and Pakistan. The conceptual framework is how national cultures affect stock return and volatility with six dimensions (PDI, UAI, MAS, LTO, IDV, and IVR) and two control variables, the exchange rate and interest rate. The data samples are extracted from Six BRICS'P nations, including Brazil, Russia, India, China, South Africa, and Pakistan for the period from January 1, 2011, through December 31, 2021. Regression analysis using panel data was utilized in this study to examine the effects of the major factors both individually and collectively. The results of panel data analysis indicate that National culture has little effect on returns from all six countries. Furthermore, only MAS has a negative substantial impact on return in the national culture dimension. Volatility is adversely affected by national culture. National cultures affect stock market volatility and returns globally, but because it analyses long-term data and Hofstede's culture modifies the data over the years. [ABSTRACT FROM AUTHOR]

In this research the relationship between institutional ownership and profit sharing policy with price efficiency and fluctuation in Tehran’s stock exchange is studied. Data extraction is done by Rahavard-Novin software and research data analyze is also done by E-views software. research result indicates that there is a significant relationship between institutional ownership and stock price fluctuation in accepted firms at Tehran’s stock exchange is approved and the main hypothesis is rejected, and there is a significant relationship between institutional ownership and stock returns in accepted firms at Tehran’s stock exchange is approved and the main hypothesis is rejected and also the existence of a significant relationship between institutional ownership and profit sharing returns in accepted firms at Tehran’s stock exchange is rejected and the main hypothesis is approved.

The main purpose of investors from investing in the stock of companies is wealth increase which is achieved through stock return. Therefore, investors need to know about factors which affect on stock return in order to get the expected rate of stock return. This study aims to examine the effect of the fundamental factors which are measured by dividend payout ratio and price to earnings ratio, and the effect of the technical factor which is measured by beta on stock return on companies listed in LQ 45 in Indonesia Stock Exchange 2013-2015. The population of this research was all of companies listed in LQ 45 in Indonesia Stock Exchange, and the sampel consisted of twenty one companies. The analysis was conducted by using multiple linear regression. The results indicated that the dividend payout ratio did not have effect on stock return, while price to earnings ratio and beta affected on stock return.So, investors can consider of price to earnings ratio and beta variables to predict the expected rate of stock return.

The purpose of this paper is to empirically test and evaluate the possibility of using the traditional Capital Asset Pricing Model (CAPM) and the Modified Capital Asset Pricing Model (MCAPM) in the Tehran Stock Exchange. Traditional CAPM by Sharpe-Linter (1965) as one of the ways in which investors can help explain the risk and return on investment offered by CAPM model to models of different MCAPM suggested by the Santosh Koirala (2015).Therefore, to achieve the desired objective, the research models using monthly returns of firm 96 (2009 to 2015) and test based on index of cash and capital gain returns. The results indicate that the explanatory power MCAPM more about stock returns compared to traditional CAPM in the Tehran Stock Exchange.

This study quantifies the dynamic interrelationship between the KOSPI index return and search query data derived from the Naver DataLab. The empirical estimation using a bivariate GARCH model reveals that negative contemporaneous correlations between the stock return and the search frequency prevail during the sample period. Meanwhile, the search frequency has a negative association with the one-week- ahead stock return but not vice versa. In addition to identifying dynamic correlations, the paper also aims to serve as a test bed in which the existence of profitable trading strategies based on big data is explored. Specifically, the strategy interpreting the heightened investor attention as a negative signal for future returns appears to have been superior to the benchmark strategy in terms of the expected utility over wealth. This paper also demonstrates that the big data-based option trading strategy might be able to beat the market under certain conditions. These results highlight the possibility of big data as a potential source-which has been left largely untapped-for establishing profitable trading strategies as well as developing insights on stock market dynamics.

Level stock returns telecommunications in Indonesia is influenced by various factors such as financial performance, risk management and working capital management. The purpose of this research was to analyze the influence of financial performance through parameters Debt to Equity Ratio (DER), Return On Investment (ROI), Current Ratio (CR) dan Total Assets Turn Over (TATO). Risk management using parameters (interest rate) and working capital management using parameters Cash Conversion Cycle (CCC). The population in this study is a telecommunications companies listed in Indonesia Stock Exchange 2010-2013. In analyzing the effect of variable DER, ROI, CR, TATO, ir and CCC using multiple linear regression. The analysis showed that the Debt to Equity Ratio (DER) has effect on stock returns with significant value 0,009, Return on Investment (ROI) has effect on stock returns with significant value 0,006. And Total Asset Turn Over (TATO) has effect on stock returns with significant value 0,025. While the Current Ratio (CR) ,interest rate, and Cash Conversion Cycle not effect on stock returns with significant value 0,403; 0,047; 0,977. All the independent variables simultaneously affect the stock on telecommunication companies.

This study analyses the bank's performance comparison across countries in some ASEAN members which are listed in the stock exchange, as well as to analyse the influence of Economic Value Added (EVA) and some financial ratios on the company stock return. Analysis suggests some results. In Indonesia, Thailand and the Philippines, the movement of EVA follows the movement of Gross Domestic Product (GDP). This study also finds that Earning per Share (EPS), only in Singapore, and Return on Equity (ROE) and Return on Assets (ROA), only in the Philippines, have an influence on stock return. Only in the Philippines where EVA together with ROA has an effect on stock return.

In recent decades the world economy has witnessed vast changes that mainly occurred because of the emergence of factors that make up globalization. The purpose of this study is to evaluate the impact of financial globalization on stock return. In this respect, total foreign direct investment and investments in portfolios are employed as indicator of financial globalization. Also, among the other macroeconomic variables affecting the stock return, GDP, liquidity, inflation, market exchange rate and oil revenues are considered. This study applies the Bounds test and Autoregressive Distributed Lag (ARDL) models for Iranian economic during 1997-2015. The results provide a positive relationship between financial globalization and stock return. In other words, expansion of financial globalization lead to increase in stock return in Iran.

Financial Performance and Stock Return: Study at Insurance Companies Listed in The Indonesian Stock ExchangeMuch of the literature said that financial performance had an effect on the stock return, including in insurance company. The purpose of this research is to examine the effect of financial performance to stock return of insurance company that listed in Indonesia stock exchange. This research is using multiple regressions as analysis technique. The results showed that all the variables simultaneously had an effect on the stock return. By partially showed that Price Book Value, Incurred Loss Ratio, Premium Growth Ratio, and Total Asset Turnover has no significant influence on the stock return. While Return on Equity has significant positive influence on the stock return and Debt on Asset Ratio, Net Profit Margin has significant negative influence on the stock return.DOI: 10.15408/ess.v7i1.4724

This research aims to explain the growth and value stocks anomaly by the relationship between accounting ratios and skewness of stock return distribution. Then, the data of 89 companies listed in the Tehran Stock Exchange are collected and analyzed for 2009 to 2013. Furthermore, the fixed effect panel data method is used to examine the hypothesis. The results show that there is a negative and significant relationship between skewness and book to market ratio. This reveals the information content of financial statement ratios in Tehran Stock Exchange. Moreover, the skewness affects on difference between growth and value stock return. However, due to lack of growth and value stocks anomaly in the research sample, results isn’t (is not) supported empirical model