scholarly journals CHARACTERISTICS OF OMEGA-OPTIMIZED PORTFOLIOS AT DIFFERENT LEVELS OF THRESHOLD RETURNS

2014 ◽  
Vol 12 (2) ◽  
pp. 245-265 ◽  
Author(s):  
Renaldas Vilkancas
Keyword(s):  
Portfolio Optimization ◽  
Risk Measures ◽  
High Threshold ◽  
Portfolio Performance ◽  
Threshold Values ◽  
Portfolio Returns ◽  
Upside Risk ◽  
And Performance ◽  
Risk Free Rate ◽  
Different Levels

There is little literature considering effects that the loss-gain threshold used for dividing good and bad outcomes by all downside (upside) risk measures has on portfolio optimization and performance. The purpose of this study is to assess the performance of portfolios optimized with respect to the Omega function developed by Keating and Shadwick at different levels of the threshold returns. The most common choices of the threshold values used in various Omega studies cover the risk-free rate and the average market return or simply a zero return, even though the inventors of this measure for risk warn that “using the values of the Omega function at particular points can be critically misleading” and that “only the entire Omega function contains information on distribution”. The obtained results demonstrate the importance of the selected values of the threshold return on portfolio performance – higher levels of the threshold lead to an increase in portfolio returns, albeit at the expense of a higher risk. In fact, within a certain threshold interval, Omega-optimized portfolios achieved the highest net return, compared with all other strategies for portfolio optimization using three different test datasets. However, beyond a certain limit, high threshold values will actually start hurting portfolio performance while meta-heuristic optimizers typically are able to produce a solution at any level of the threshold, and the obtained results would most likely be financially meaningless.

scholarly journals Mutual funds behavior and risk-adjusted performance in Nigeria

2021 ◽  
Vol 18 (3) ◽  
pp. 277-294
Author(s):  
Joshua Odutola Omokehinde
Keyword(s):  
Mutual Funds ◽  
Portfolio Performance ◽  
Average Risk ◽  
Negative Effects ◽  
Market Returns ◽  
Significance Level ◽  
Fund Managers ◽  
Portfolio Returns ◽  
Normality Test ◽  
Risk Free Rate

The paper investigates the behavior of mutual funds and their risk-adjusted performance in the financial markets of Nigeria between April 2016 and May 31, 2019, using descriptive statistics, as well as CAPM, Jensen’s alpha, and other risk-adjusted portfolio performance measures such as Sharpe and Treynor ratios, as well as Fama decomposition of return. The descriptive tests revealed that 80.77% of the funds were superior to market returns, while 13.46% were riskier. The market and the fund returns behaved abnormally with asymptotic and leptokurtic characteristics as their skewness and kurtosis varied from the normal requirements. Diagnostically, the normality test by Jacque-Berra showed that the return was not normally distributed at a 1% significance level. The market was more aggressive relative to the funds. The average risk-free rate was 6.75% above the market’s return. The risk-adjusted portfolio returns measured by Sharpe and Treynor ratios showed that 67.31% of the funds underperformed the market compared to 40.38% that outperformed the market using Jensen’s alpha. Fama decomposition of return revealed that the fund managers are risk-averse with 48% superior selection ability and rationally invested over 85% of investors’ funds in schemes with fixed income securities at a given risk-free return that cushioned the negative effects of the systematic and idiosyncratic risks and consequently threw the total returns into positive territories. Overall, the fund managers possessed 52% of inferior selection abilities that only earned 33% of superior risk-adjusted returns and hence, failed to achieve the desired diversification in the relevant period.

AN ANALYTICAL FRAMEWORK FOR EXPLAINING RELATIVE PERFORMANCE OF CAPM BETA AND DOWNSIDE BETA

2009 ◽  
Vol 12 (03) ◽  
pp. 341-358 ◽  
Author(s):  
DON U. A. GALAGEDERA
Keyword(s):  
Risk Measures ◽  
Systematic Risk ◽  
Analytical Framework ◽  
Portfolio Returns ◽  
Market Portfolio ◽  
Empirical Performance ◽  
Capm Beta ◽  
Using Data ◽  
Risk Free Rate ◽  
Mean Variance

Even though investors' view of risk is generally regarded as related to the downside of the return distribution the CAPM beta is still a widely used measure of systematic risk. A number of studies compare the empirical performance of CAPM beta and downside beta in explaining the variation in portfolio returns and report mixed results. This paper provides a basis for explaining such mixed results. Using data generating processes in the mean-variance and mean-lower partial moment frameworks, analytical relationships between the CAPM beta and downside beta are derived. The derived relationships reveal that the association between the two systematic risk measures is to a great extent dependent on the volatility of the market portfolio returns and the deviation of the target rate from the risk-free rate. How the relationships derived here may be used in practice is demonstrated using empirical data.

Internal Control Quality and Bank Risk-Taking and Performance

2020 ◽  
Author(s):  
Matthew Baugh ◽  
Matthew Ege ◽  
Christopher G. Yust
Keyword(s):  
Internal Control ◽  
Risk Taking ◽  
Downside Risk ◽  
Internal Controls ◽  
Bank Risk ◽  
Material Weakness ◽  
Control Quality ◽  
Interest Income ◽  
Upside Risk ◽  
And Performance

Using a sample of bank-years from 2005 to 2017, we examine the effect of internal control quality on future risk-taking and performance. We find that banks that disclose a material weakness in internal controls have higher risk-taking and worse performance in the future, including having a higher (lower) likelihood of experiencing large losses (gains). These findings suggest that weak controls increase (reduce) downside (upside) risk-taking or conversely that strong controls increase (reduce) upside (downside) risk-taking. Path analyses suggest that 22.3 to 43.7 percent of the effect of internal control quality on future performance is through risk-taking. Additionally, material weaknesses are negatively associated with total asset, loan, interest income, and non-interest income growth, suggesting that internal control quality affects both core and non-core activities of banks. Overall, results suggest that strong internal controls improve bank risk-taking, in part through asymmetrically reducing downside risk-taking while facilitating upside risk-taking, ultimately improving bank performance.

scholarly journals Portfolio Optimization Constrained by Performance Attribution

2021 ◽  
Vol 14 (5) ◽  
pp. 201
Author(s):  
Yuan Hu ◽  
W. Brent Lindquist ◽  
Svetlozar T. Rachev
Keyword(s):  
Portfolio Optimization ◽  
Asset Allocation ◽  
Value At Risk ◽  
Risk Measures ◽  
Risk Measure ◽  
Selection Effect ◽  
Conditional Value At Risk ◽  
Positive Role ◽  
Performance Attribution ◽  
Dow Jones Industrial Average

This paper investigates performance attribution measures as a basis for constraining portfolio optimization. We employ optimizations that minimize conditional value-at-risk and investigate two performance attributes, asset allocation (AA) and the selection effect (SE), as constraints on asset weights. The test portfolio consists of stocks from the Dow Jones Industrial Average index. Values for the performance attributes are established relative to two benchmarks, equi-weighted and price-weighted portfolios of the same stocks. Performance of the optimized portfolios is judged using comparisons of cumulative price and the risk-measures: maximum drawdown, Sharpe ratio, Sortino–Satchell ratio and Rachev ratio. The results suggest that achieving SE performance thresholds requires larger turnover values than that required for achieving comparable AA thresholds. The results also suggest a positive role in price and risk-measure performance for the imposition of constraints on AA and SE.

Portfolio Optimization Using Novel Intelligent Probabilistic Forecasts of Risk Measures

2021 ◽  
Author(s):  
You Liang ◽  
Aerambamoorthy Thavaneswaran ◽  
Alexander Paseka ◽  
Ruppa K. Thulasiram ◽  
Ethan Johnson-Skinner
Keyword(s):  
Portfolio Optimization ◽  
Risk Measures ◽  
Probabilistic Forecasts

Control Strategies for Multistage Solar Collector Systems

1988 ◽  
Vol 110 (3) ◽  
pp. 230-232
Author(s):  
C. Saltiel
Keyword(s):  
Comparative Study ◽  
Flow Control ◽  
Numerical Simulations ◽  
Control Strategy ◽  
System Performance ◽  
Solar Collector ◽  
Control Strategies ◽  
Climatic Conditions ◽  
High Threshold ◽  
Threshold Values

A comparative study of the yearly performance of multistage solar collector systems, (comprised of more than one collector type) with a single on/off flow control strategy for all the collectors and separate on/off controls for each collector stage, is performed. Detailed numerical simulations under a range of climatic conditions showed that there is little advantage in using individual collector controls over a single on/off control strategy when the systems operate at low collector thresholds, but differences in system performance can be quite significant at high threshold values. In addition, the choice of the single control strategy (i.e., which collector the strategy is based on) at low thresholds is not critical in terms of system performance.

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