scholarly journals Performance of Risk Measures in Portfolio Construction on Central and South-East European Emerging Markets

2011 ◽  
Vol 01 (04) ◽  
pp. 236-242 ◽  
Author(s):  
Jelena Vidovic
Keyword(s):  
Emerging Markets ◽  
Risk Measures ◽  
Portfolio Construction ◽  
East European

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.

scholarly journals LIQUIDITY RISK AND STOCK RETURN IN LATIN AMERICAN EMERGING MARKETS

2021 ◽  
Vol 20 (2) ◽  
Author(s):  
Francisco Javier Vasquez-Tejos ◽  
Prosper Lamothe Fernandez
Keyword(s):  
Emerging Markets ◽  
Stock Returns ◽  
Latin American ◽  
Stock Return ◽  
Risk Measures ◽  
Liquidity Risk ◽  
Multiple Regression Model ◽  
Investment Strategies ◽  
Developed Markets ◽  
The Impact

This study analyzes the impact of liquidity risk on stock returns in four Latin American markets (Chile, Columbia, Mexico, and Peru) between January 1998 and July 2018. Several previous studies have focused on measuring this effect in developed markets and a few in emerging markets, such as Latin American stock markets. In the present study, five liquidity risk measures with a multiple regression model; three have been widely used in previous studies and two were from recently proposed measures. We found evidence of an inverse relationship between liquidity risk and stock performance, which indicates that there exist rewards for investing in less liquid positions and therefore originate new investment strategies. In general, lesser developed or smaller markets have a disadvantage for this type of study, due to lack of access to historical information on stock purchase and sales.

scholarly journals Stock returns and liquidity risk in Chile

2019 ◽  
Vol 17 (2) ◽  
Author(s):  
Francisco Javier Vásquez-Tejos ◽  
Hernán Pape-Larre ◽  
Juan Martín Ireta-Sánchez
Keyword(s):  
Stock Market ◽  
Emerging Markets ◽  
Regression Model ◽  
Stock Returns ◽  
Multiple Regression ◽  
Risk Measures ◽  
Liquidity Risk ◽  
Multiple Regression Model ◽  
Developed Markets ◽  
The Impact

This study analyzes the impact of liquidity risk on the return of shares in the Chilean stock market, during the period from January 2000 to July 2018. A large number of studies have focused on measuring this effect in developed markets and few in emerging markets, especially the Chilean one. To do this, we used 6 risk measures in a multiple regression model; four widely used in previous studies and two new proposed measures. We found evidence of the significance of the liquidity risk over the stock return.RESUMENEste estudio analiza el impacto del riesgo de liquidez sobre el retorno de las acciones en el mercado bursátil chileno, durante el periodo de enero de 2000 hasta julio de 2018. Gran cantidad de estudios se han centrado en medir este efecto en los mercados desarrollados y pocos en mercados emergentes, especialmente el chileno. Para ello, se utilizó un modelo de regresión múltiple 6 medidas de riesgo; cuatro utilizadas ampliamente en estudios anteriores y dos medidas nuevas propuestas. Encontramos evidencia de significancia del riesgo de liquidez sobre el retorno accionario.RESUMOEste estudo analisa o impacto do risco de liquidez no retorno das ações no mercado de ações chileno, durante o período de janeiro de 2000 a julho de 2018. Muitos estudos têm se concentrado em medir este efeito em mercados desenvolvidos e poucos nos mercados emergentes, especialmente o chileno. Para isso, utilizamos 6 medidas de risco em um modelo de regressão múltipla; quatro amplamente utilizados em estudos anteriores e duas novas medidas propostas. Encontramos evidências da significância do risco de liquidez sobre o retorno das ações.  

Dynamic Efficiency in the East European Emerging Markets

2005 ◽  
Vol 12 (2) ◽  
pp. 159-179 ◽  
Author(s):  
Yoshihiko Tsukuda ◽  
Tatsuyoshi Miyakoshi ◽  
Junji Shimada
Keyword(s):  
Emerging Markets ◽  
Dynamic Efficiency ◽  
East European

Portfolio Construction with Climate Risk Measures

2022 ◽  
Author(s):  
Théo Le Guenedal ◽  
Thierry Roncalli
Keyword(s):  
Risk Measures ◽  
Climate Risk ◽  
Portfolio Construction

scholarly journals Analyzing Stock-Bond Correlation in Emerging Markets

2019 ◽  
Vol 11 (3) ◽  
pp. 83
Author(s):  
Qurat Ul Ain Ehtesham ◽  
Danish Ahmed Siddiqui
Keyword(s):  
Emerging Markets ◽  
White Noise ◽  
Asset Allocation ◽  
Multivariate Garch ◽  
Portfolio Construction ◽  
Conditional Volatility ◽  
Price Data ◽  
Lm Test ◽  
Noise Error ◽  
Diversification Benefit

This study investigates stock-bond correlation in 17 countries of emerging markets during 2011 to 2018 using monthly price data. Data was analyzed using ARCH-LM test, GJR GARCH and Multivariate GARCH type Asymmetric DCC model. Findings of this paper revealed that sequence of return series are stationary containing white noise error, past return volatilities do not have the ability to predict future volatilities and conditional volatility is higher and negative momentum of the market increase the correlation of stock and bond in a country or vice versa and hence increase the diversification benefit for asset allocation in a portfolio construction and provide hedging assets characteristics among countries and it is found that there is a co-movement between stock and bond in a country of emerging markets.

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