An Analysis of Volatility Spread via the Risk-Free Rate Proxy

2014 ◽  
Author(s):  
Lin-Yee Hin ◽  
Nikolai Dokuchaev
Keyword(s):  
Risk Free Rate ◽  
Free Rate

Robust Benchmarking of Indian Mutual Funds-A Partial Frontier Approach

2015 ◽  
Vol 5 (2) ◽  
Author(s):  
Ram Pratap Sinha
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Mutual Funds ◽  
Mutual Fund ◽  
Multi Criteria Decision Making ◽  
Risk Framework ◽  
Programming Techniques ◽  
Risk Free Rate ◽  
Risk Ratios ◽  
Free Rate

Performance analysis of mutual funds is usually made on the basis of return-risk framework. Traditionally, excess return (over risk-free rate) to risk ratios were used for the purpose mutual fund evaluation. Subsequently, the application of non-parametric mathematical programming techniques in the context of performance evaluation facilitated multi-criteria decision making. However,the estimates of performance on the basis of conventional programming techniques like DEA and FDH are affected by the presence of outliers in the sample observations. The present, accordingly uses more robust benchmarking techniques for evaluating the performance od sectoral mutual fund schemes based on observations for the second half of 2010. The USP of the present study is that it uses two partial frontier techniques (Order-m and Order- a) which are less susceptible to the problem of extreme data.

scholarly journals Long Run Returns Predictability and Volatility with Moving Averages

Risks ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 105 ◽  
Author(s):  
Chia-Lin Chang ◽  
Jukka Ilomäki ◽  
Hannu Laurila ◽  
Michael McAleer
Keyword(s):  
Financial Performance ◽  
Stock Returns ◽  
Moving Average ◽  
Long Run ◽  
Returns Predictability ◽  
Rolling Window ◽  
Risk Free Rate ◽  
Data Frequency ◽  
Predictability Of Returns ◽  
Free Rate

This paper examines how the size of the rolling window, and the frequency used in moving average (MA) trading strategies, affects financial performance when risk is measured. We use the MA rule for market timing, that is, for when to buy stocks and when to shift to the risk-free rate. The important issue regarding the predictability of returns is assessed. It is found that performance improves, on average, when the rolling window is expanded and the data frequency is low. However, when the size of the rolling window reaches three years, the frequency loses its significance and all frequencies considered produce similar financial performance. Therefore, the results support stock returns predictability in the long run. The procedure takes account of the issues of variable persistence as we use only returns in the analysis. Therefore, we use the performance of MA rules as an instrument for testing returns predictability in financial stock markets.

Solutions for Sustainable Banking and Enhancing Banking Competitiveness – Vietinbank Case in Vietnam

2021 ◽  
Vol 11 (2) ◽  
pp. 327-334
Author(s):  
Nguyen Van Dat ◽  
Dinh Tran Ngoc Huy
Keyword(s):  
Stock Price ◽  
Industry 4.0 ◽  
Financial Accounting ◽  
Gdp Growth ◽  
Financial Risks ◽  
Management Implications ◽  
Sustainability Strategies ◽  
Lending Rate ◽  
Risk Free Rate ◽  
Free Rate

During and after China-USA commerce ward, financial accounting transparency will become hot issues as it will help to attract more FDIs capitals flows into the country and stock market. Financial accounting transparency policy will prove enough data for firms and esp., banks in evaluating business risks and financial risks. For economic development during industry 4.0, enhancing banking sustainability in emerging markets such as Vietnam is becoming necessary. The results show us that CPI, GDP growth and risk free rate (Rf) has higher effects on beta CAPM and stock price of Vietinbank (CTG). Risk free rate and lending rate have positive correlation with these 2 variables. Then, this study can enable to propose management implications and risk management to enhance banking sustainability strategies.

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