Background: In making investment decisions, asset risk and return are two crucial criteria on which investors base … their decision. Objectives: This paper provides risk and return analysis and compares different traditional and alternative … estate, foreign exchange, cryptocurrencies, renewable energy sources, gold, and oil. Methods/Approach: The risk measures of …

This experimental paper investigates the impact of emotions on risk and return estimates of stocks. Participants rate … well-known blue-chip firms on an emotional scale and forecast risk and return of the firms' stock. We find that positive … emotions lead to a prediction of high return and low risk, while negative emotions lead to a prediction of low return and high …

Empirically, standard, intuitive measures of risk like volatility and beta do not generate a positive correlation with … average returns in most asset classes. It is possible that risk, however defined, is not positively related to return as an … highlighting the assumptions consistent with no risk premium. The key is that when agents are concerned about relative wealth, risk …

We introduce three new families of reward-risk ratios, study their properties and compare them to existing examples … members only depend on the distribution of a return. In the second part of the paper we provide an overview of existing reward-risk …

priced risk factor and differentiation between specific and common uncertainty important. Our results are robust across …

This stochastic simulation analysis examines the risk characteristics of target-date funds focusing on the trade …. The risk-return tradeoffs associated with equity exposure, particularly for workers approaching retirement, underscore the … importance of full disclosure, realistic assessment of risk tolerance and participant behavior, and due consideration of income …

This paper analyses the risk and return of loans portfolios in a joint setting. I develop a model to obtain the … with a Value at Risk constraint. I also obtain closed form expressions for the interest rates that banks should set in … compensation for borrowers' credit risk under absence of arbitrage opportunities and I use these rates as a benchmark to interpret …

single intuitive number, defined here as the “crash volatility”, to characterize the true left-tail risk as an alternative to … optimizer to finally “see” the risk effect of the non-Gaussian distribution. An example using Amaranth's returns before it lost … -71% in September, 2006 illustrates how these new techniques caught a much higher level of risk lurking in the data …

risk aversion and the intertemporal elasticity of substitution. The three-way separation allows the model to further … account for the variance premium puzzle, besides the puzzles of the equity premium, the risk-free rate, and the return … predictability. Specifically, the model matches reasonably well key asset pricing moments with risk aversion under 5. By calibration …

In this paper we provide an axiomatic foundation to Orlicz risk measures in terms of properties of their acceptance … sets, by exploiting their natural correspondence with shortfall risk measures, thus paralleling the characterization in … Weber (2006). From a financial point of view, Orlicz risk measures assess the stochastic nature of returns, in contrast to …