Accessing the China A-Shares Market via Minimum-Variance Investing

As the China A-shares market is receiving more attention from international investors because of its expanding market size and improved access, means of accessing the market have become an important topic. The authors suggest the use of minimum variance investing as an alternative to the traditional market cap approach for accessing the China A-shares market. Their portfolio construction method takes into account the stock suspension features of the China A-shares market, and the simulated results show that China A-shares minimum variance investing is capable of achieving volatility reduction. The study also observes return enhancement from the minimum variance strategies for the 2007–2017 period. The authors compare minimum variance investing in different markets and find that the volatility reduction in the China A-shares market is lower compared with other major equity markets despite its superior historical return. This can be attributed to its smaller ex ante volatility reduction and forecastability of the ex post volatility. The authors investigate two methods of applying factor exposure control of the minimum variance portfolio. The results show that a value and quality factor overlay does not affect the volatility reduction capability and helps to enhance the return of the China A-shares minimum variance portfolio through the capture of factor risk premium.

2020 ◽  
Vol 8 (1) ◽  
pp. 11-21
Author(s):  
S. M. Yaroshko ◽  
◽  
M. V. Zabolotskyy ◽  
T. M. Zabolotskyy ◽  
◽  
...  

The paper is devoted to the investigation of statistical properties of the sample estimator of the beta coefficient in the case when the weights of benchmark portfolio are constant and for the target portfolio, the global minimum variance portfolio is taken. We provide the asymptotic distribution of the sample estimator of the beta coefficient assuming that the asset returns are multivariate normally distributed. Based on the asymptotic distribution we construct the confidence interval for the beta coefficient. We use the daily returns on the assets included in the DAX index for the period from 01.01.2018 to 30.09.2019 to compare empirical and asymptotic means, variances and densities of the standardized estimator for the beta coefficient. We obtain that the bias of the sample estimator converges to zero very slowly for a large number of assets in the portfolio. We present the adjusted estimator of the beta coefficient for which convergence of the empirical variances to the asymptotic ones is not significantly slower than for a sample estimator but the bias of the adjusted estimator is significantly smaller.


2020 ◽  
Author(s):  
endang naryono

Research aims to understand gyrations cash pt .Had provided nusantara viii , liquidity to pt .Had provided nusantara viii , and to know the influence of gyrations cash on the level of liquidity to PT .Perkebunan nusantara VIII sukabumi .The methodology used is the method ex-post facto capital .This research using primary and secondary data obtained from financial reports and non financial from pt .Pekebunan nusantara viii sukabumi .To test hypotheses used linear regression and the correlation with on the spss 15.0 for windows. Based on the results of research shows that there is a positive influence between second match of cash and liquidity pt .Had provided nusantara viii sukabumi .A level of closeness ( correlation ) the second variables strong enough , are r = 0,800 with a value of a correlation coefficient r & gt; 0 it means if cash second match of getting up and liquidity will increase , and vice versa . While from the results of the equation above the results linear regression simple as follows: y = 185,137 + 0,045x means value ( a ) or constant of 185,137 who have the meaning that if cash two zero ( 0 ) or not increased so level of 185,137 liquidity .The score regression ( b ) of 0,045 the show the relation in line that every 1 increase point in cash and two rate rose to 185,137 liquidity


2003 ◽  
Vol 78 (2) ◽  
pp. 449-469 ◽  
Author(s):  
Bjorn N. Jorgensen ◽  
Michael T. Kirschenheiter

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.


Author(s):  
Roger Clarke ◽  
Harindra de Silva ◽  
Steven Thorley

2021 ◽  
Vol 8 (4) ◽  
pp. 34-42
Author(s):  
Ramkumar Samyukth

Socially responsible investing is becoming more popular among people because people are becoming more concerned about the environment and society. Socially responsible investors screen the company by considering the ESG factors. The question raced is whether socially responsible investing improves the portfolio performance and how the funds perform during uncertain times like the Covid-19 pandemic. Since many critics of ESG funds say that the ESG funds’ performance highly depends on Software and Service company stocks, so the relevance of Software and Service companies in the fund has been analyzed in this research. The portfolios have been formed by using the Markowitz mean-variance portfolio model, and the performance of the minimum variance portfolio has been studied. The fund performance has been analyzed using the Sharpe ratio, and the result concludes that the ESG fund performance with minimum variance has an abnormally high Sharpe Ratio of 10.8. A similar type of performance was identified during the Covid-19 pandemic. The abnormally high Sharpe ratio will encourage investors to move towards socially responsible investing.


2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
Zhifeng Dai

Recently, by imposing the regularization term to objective function or additional norm constraint to portfolio weights, a number of alternative portfolio strategies have been proposed to improve the empirical performance of the minimum-variance portfolio. In this paper, we firstly examine the relation between the weight norm-constrained method and the objective function regularization method in minimum-variance problems by analyzing the Karush–Kuhn–Tucker conditions of their Lagrangian functions. We give the range of parameters for the two models and the corresponding relationship of parameters. Given the range and manner of parameter selection, it will help researchers and practitioners better understand and apply the relevant portfolio models. We apply these models to construct optimal portfolios and test the proposed propositions by employing real market data.


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