scholarly journals An Analysis and Comparison of Multi-Factor Asset Pricing Model Performance during Pandemic Situations in Developed and Emerging Markets

Mathematics ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 142
Author(s):  
Konstantin B. Kostin ◽  
Philippe Runge ◽  
Michel Charifzadeh
Keyword(s):  
Emerging Markets ◽  
Factor Model ◽  
Five Factor Model ◽  
Emerging Market ◽  
Model Performance ◽  
Research Area ◽  
Emerging Countries ◽  
Developed Markets ◽  
The Cost ◽  
Three Factor

This study empirically analyzes and compares return data from developed and emerging market data based on the Fama French five-factor model and compares it to previous results from the Fama French three-factor model by Kostin, Runge and Adams (2021). It researches whether the addition of the profitability and investment pattern factors show superior results in the assessment of emerging markets during the COVID-19 pandemic compared to developed markets. We use panel data covering eight indices of developed and emerging countries as well as a selection of eight companies from these markets, covering a period from 2000 to 2020. Our findings suggest that emerging markets do not generally outperform developed markets. The results underscore the need to reconsider the assumption that adding more factors to regression models automatically yields results that are more reliable. Our study contributes to the extant literature by broadening this research area. It is the first study to compare the performance of the Fama French three-factor model and the Fama French five-factor model in the cost of equity calculation for developed and emerging countries during the COVID-19 pandemic and other crisis events of the past two decades.

scholarly journals Testing Multi-Factor Models in ADRs: Emerging Market vs. Developed Market

2020 ◽  
Vol 5 (1) ◽  
pp. 12-21
Author(s):  
Tingting Que ◽  
Wai Yin Mok ◽  
Kit Yee Cheung
Keyword(s):  
Risk Factors ◽  
Risk Premium ◽  
Factor Model ◽  
Five Factor Model ◽  
Emerging Market ◽  
Abnormal Returns ◽  
International Market ◽  
Market Risk Premium ◽  
Developed Markets ◽  
Traditional Risk Factors

This paper tests whether the Carhart four-factor model and the Fama-French five-factor model can explain variation in returns of 1,230 ADRs originating from six developed markets and five emerging markets. We aim to compare emerging market ADRs with developed market ADRs in terms of traditional risk factors significance, model fitness and the existence of abnormal returns. Overall, we find that substantial variations exist among ADRs by their origin-of-market. First, both models show that most of the positive abnormal returns we document accrue to emerging market ADRs, mainly Chinese ADRs. Among the risk factors, market risk premium is found to be most prevalent in both emerging and developed markets. Although we find some difference in the presence of particular risk factors employed in the four-factor vs. five-factor model, overall, there are no significant differences in the explanation power between the two models. Lastly, the low R2 values imply that both models do not work very well with the international market ADRs. 

Loyalty cards, credit options and economic market development

2020 ◽  
Vol 48 (6) ◽  
pp. 591-607
Author(s):  
Stephan Zielke ◽  
Marcin Komor
Keyword(s):  
Emerging Markets ◽  
Emerging Market ◽  
Credit Cards ◽  
Emerging Countries ◽  
High Price ◽  
Private Debt ◽  
Content Type ◽  
Product Categories ◽  
Developed Markets

PurposeThis paper analyses three strategies in customers’ use to afford consumption in a developed and an emerging market for different product groups. The strategies are: (1) usage of loyalty cards, (2) usage of credit cards and (3) usage of long-term credits.Design/methodology/approachMall intercept surveys conducted in Poland (emerging market) and Germany (developed market) provide data for testing a set of hypotheses using ANOVAs.FindingsResults show that customers in emerging markets show no differences in the usage of loyalty cards for product categories with high shopping frequency (groceries) compared to developed markets, while in all other product categories loyalty card usage is stronger. Results show further that in low price categories, customers in emerging markets use credit card payments more often compared to customers in developed markets. In high price categories, they use credit cards less often, but long-term credits more often.Research limitations/implicationsResults have implications for the design of loyalty programs and payment options in different markets. Results have also implications for public policy regarding concerns about increasing private debt in emerging countries.Originality/valueThis paper suggests a cost-benefit framework where customers in emerging countries perceive benefits of loyalty cards and credit options higher, while they are willing to bear higher costs. As a result, effects of product category characteristics on usage that are observable in developed markets do not exist in emerging markets.

scholarly journals Cost Drivers for Food Retailers in Developed and Emerging Markets

2018 ◽  
Vol 11 (6) ◽  
pp. 100-111
Author(s):  
V. B. Frolova ◽  
T. F. Khan
Keyword(s):  
Regression Analysis ◽  
Emerging Markets ◽  
Emerging Market ◽  
Cost Driver ◽  
Cost Drivers ◽  
Developed Markets ◽  
Food Retailers ◽  
The Cost ◽  
Cost Factors ◽  
Financial Result

The subject of research is a set of methodological and practical aspects of assessing the cost factors of food companies. The study of the above factors is becoming relevant under the current conditions of environment instability and the necessity to stimulate investment, given the low elasticity of demand for products in this sector. The purpose of the research was to confirm the hypothesis of a variety of cost drivers that form the financial result of companies in a developed and emerging markets by an example of 39 food retailers in an emerging market and 48 companies in developed markets based on a system approach and the comparison method using elements of factor and correlationand-regression analysis. The research findings obtained are as follows: the choice of indicators for the regression analysis of cost factors mostly of a multiplicative type is substantiated; the research was carried out using the indicator of financial result less the tangible assets depreciation; to clarify the results of the research, the elements of the comparative analysis were applied, with the companies classified into four groups where Lenta and X5 were in the group of the most efficient companies of the first quantile, and Dixie fell into the group of the fourth quantile companies that had difficulty in generating their own funds; the cost drivers of food retailers in emerging and developed markets were identified. It is concluded that the cost driver of food retailers in developed markets is profitability of sales, and in emerging markets it is the share of capital inputs in sales revenues. It has been established that the growth rate of consumer consumption plays a key role in the retail market of all countries. At the same time, there is a market tendency to oust small companies by large players whose assets have a higher level of investment demand. The novelty of the research lies in using by the authors the EBITA profitability indicator in the regression model, where EBITA is the profit before tax, interest and intangible assets depreciation.

Consumer Behavior in Emerging Markets

2018 ◽  
pp. 218-240 ◽  
Author(s):  
Raquel Castaño ◽  
David Flores
Keyword(s):  
Consumer Behavior ◽  
Emerging Markets ◽  
Emerging Market ◽  
High Income ◽  
Future Research ◽  
Psychological Processes ◽  
Developed Markets ◽  
Contextual Characteristics ◽  
Initial Framework

Emerging markets are substantially different from markets in high-income, industrialized societies. While many aspects of consumer behavior are the result of inherent psychological processes and are, thus, generalizable across countries and cultures, the specific contextual characteristics of emerging markets can significantly influence other aspects of consumer behavior. In this chapter, we explore the behavior of emerging market consumers. This chapter reviews the existing literature and proposes an initial framework delineating the main differences between emerging markets and developed markets consumers that describe how consumers in these societies recognize a need for, select, evaluate, buy, and use products. The chapter discusses the issues and contributions of the research on emerging consumers and presents implications of extant research for international managers. Finally, the chapter elaborates on an agenda for future research in this area.

scholarly journals Choosing Factors for the Vietnamese Stock Market

2021 ◽  
Vol 14 (3) ◽  
pp. 96
Author(s):  
Nina Ryan ◽  
Xinfeng Ruan ◽  
Jin E. Zhang ◽  
Jing A. Zhang
Keyword(s):  
Stock Returns ◽  
Factor Model ◽  
Five Factor Model ◽  
Explanatory Power ◽  
Factor Models ◽  
Marginal Contribution ◽  
Return On Equity ◽  
Factor Modeling ◽  
Three Factor ◽  
Better Than

In this paper, we test the applicability of different Fama–French (FF) factor models in Vietnam, we investigate the value factor redundancy and examine the choice of the profitability factor. Our empirical evidence shows that the FF five-factor model has more explanatory power than the FF three-factor model. The value factor remains important after the inclusion of profitability and investment factors. Operating profitability performs better than cash and return-on-equity (ROE) profitability as a proxy for the profitability factor in FF factor modeling. The value factor and operating profitability have the biggest marginal contribution to a maximum squared Sharpe ratio for the five-factor model factors, highlighting the value factor (HML) non-redundancy in describing stock returns in Vietnam.

Comparative analyses of mean-variance and mean-semivariance approaches on global and local single factor market model for developed and emerging markets

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mehmet Emin Yildiz ◽  
Yaman Omer Erzurumlu ◽  
Bora Kurtulus
Keyword(s):  
Emerging Markets ◽  
Stock Returns ◽  
Risk Measures ◽  
Emerging Market ◽  
Cost Of Equity ◽  
Content Type ◽  
The Cost ◽  
Global And Local ◽  
Insight Into ◽  
Better Than

PurposeThe beta coefficient used for the cost of equity calculation is at the heart of the valuation process. This study conducts comparative analyses of the classical capital asset pricing model (CAPM) and downside CAPM risk parameters to gain further insight into which risk parameter leads to better performing risk measures at explaining stock returns.Design/methodology/approachThe study conducts a comparative analysis of 16 risk measures at explaining the stock returns of 4531 companies of 20 developed and 25 emerging market index for 2000–2018. The analyses are conducted using both the global and local indices and both USD and local currency returns. Calculated risk measures are analyzed in a panel data setup using a univariate model. Results are investigated in country-specific and model-specific subsets.FindingsThe results show that (1) downside betas are better than CAPM betas at explaining the stock returns, (2) both risk measure groups perform better for emerging markets, (3) global downside beta model performs better than global beta model, implying the existence of the contagion effect, (4) high significance levels of total risk and unsystematic risk measures further support the shortfall of CAPM betas and (5) higher correlation of markets after negative shocks such as pandemics puts global CAPM based downside beta to a more reliable position.Research limitations/implicationsThe data are limited to the index securities as beta could be time varying.Practical implicationsResults overall provide insight into the cost of equity calculation and emerging market assets valuation.Originality/valueThe framework and methodology enable us to compare and contrast CAPM and downside-CAPM risk measures at the firm level, at the global/local level and in terms of the level of market development.

Emerging market currency risk exposure: evidence from South Africa

2020 ◽  
Vol 21 (2) ◽  
pp. 159-179
Author(s):  
Mashukudu Hartley Molele ◽  
Janine Mukuddem-Petersen
Keyword(s):  
South Africa ◽  
Exchange Rate ◽  
Foreign Exchange ◽  
Factor Model ◽  
Five Factor Model ◽  
Risk Exposure ◽  
Foreign Exchange Risk ◽  
Content Type ◽  
Exchange Risk ◽  
Three Factor

Purpose The purpose of this paper is to examine the level of foreign exchange exposure of listed nonfinancial firms in South Africa. The study spans the period January 2002 and November 2015. Foreign exchange risk exposure is estimated in relation to the exchange rate of the South African Rand relative to the US$, the Euro, the British Pound and the trade-weighted exchange rate index. Design/methodology/approach The study is based on the augmented-market model of Jorion (1990). The Jorion (1990) is a capital asset pricing model-inspired framework which models share returns as a function of the return on the market index and changes in the exchange rate factor. The market risk factor is meant to discount the effect of macroeconomic factors on share returns, thus isolating the foreign exchange risk factor. In addition, the study further added the size, value, momentum, investment and profitability risk factors in line with the Fama–French three-factor model, Carhart four-factor model and the Fama–French five-factor model to account for the fact that equity capital markets in countries such as South Africa are known to be partially segmented. Findings Foreign exchange risk exposure levels were estimated at more than 40% for all the proxy currencies on the basis of the standard augmented market model. However, after controlling for idiosyncratic factors, through the application of the Fama–French three-factor model, the Carhart four-factor model and the Fama–French five-factor model, exposure levels were found to range between 6.5 and 12%. Research limitations/implications These results indicate the importance of controlling for the effects of idiosyncratic facto0rs in the estimation of foreign exchange risk exposure in the context of emerging markets of Sub-Saharan Africa (SSA). Originality/value This is the first study to apply the Fama–French three-factor model, Carhart four-factor model and the Fama–French five-factor model in the estimation of foreign exchange exposure of nonfinancial firms in the context of a SSA country. These results indicate the importance of controlling for the effects of idiosyncratic factors in the estimation of foreign exchange risk exposure in the context of emerging markets.

Survey of Private Sector Trade Credit Developments

Policy Papers ◽  
2009 ◽  
Vol 09 ◽  
Author(s):  
Keyword(s):  
Private Sector ◽  
Emerging Markets ◽  
Trade Credit ◽  
Emerging Market ◽  
Advanced Country ◽  
Trade Finance ◽  
Structural Differences ◽  
The Cost

In response to the dearth of information on trade finance, the Fund has undertaken a survey of major advanced country and emerging market banks. The results suggest that the cost of trade finance is rising globally, but that provision is falling in emerging markets while staying stable in advanced countries, possibly reflecting structural differences in markets.

scholarly journals Analysis of the Fama-French Model (FF5) Factor on the Food Industry under the COVID-19 Epidemic

2021 ◽  
Vol 13 ◽  
pp. 270-275
Author(s):  
Shiyun Yang ◽  
Zijia Cheng ◽  
Zihan Xia
Keyword(s):  
Market Segmentation ◽  
Global Economy ◽  
Food Industry ◽  
Factor Model ◽  
Five Factor Model ◽  
Current Status ◽  
Before And After ◽  
The Impact ◽  
Development Prospects ◽  
Three Factor

Due to the impact of the COVID-19 epidemic, the global economy has been affected to some extent in all aspects, with the food industry bearing the brunt. However, the specific research on the stock market segmentation industry is relatively lacking. This article aims to analyze the food industry's current status and development prospects by discussing the Fama-French three-factor model and five-factor model before and after the epidemic in the food industry and put forward constructive opinions on this. The analysis will use the method of coefficient comparison and effectiveness comparison to analyze the food industry's coefficients before and after the epidemic in the same model and model differences and combine the background of the industry to get the reasons for these differences.

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