In the expected mean return, standard deviation portfolio selection problem, the first step is usually to derive the set of efficient portfolios, which in the space of objective function values is represented by the efficient frontier. With modern methods and software, it is an easy task even ...
In this paper, we propose the risk measure Mean-CVaR that builds on Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR). The Mean-CVaR model can also be interpreted as a mean-deviation model. The objective function of the Mean-CVaR model is characterized by a tolerance level and a...
The first model has six fitted parameters, whereas the second model has six (because it contains the t distribution degrees of freedom). Despite this difference, both information criteria favor the model with the Student's t innovation distribution because it yields smaller AIC and BIC value...
This MATLAB function with no output arguments, this mode displays the convergence of the ECM algorithm in a plot by estimating objective function values for each iteration of the ECM algorithm until termination.
In the set of data 7, 9, 11, 25, the geometric mean = (7 × 9 × 11 × 25)14 = 11.47. The geometric mean has an advantage over the arithmetic mean in that it is less affected by extreme values in a skewed distribution; in the above example, the arithmetic mean of the four nu...
meanW is the mean value of the predicted coefficients given by msepred. Compare the simulated and predicted mean values of LMS filter coefficients 12,13,14, and 15. plot(nn,meanWsim(:,12),'b',nn,meanW(:,12),'r',nn,... meanWsim(:,13:15),'b',nn,meanW(:,13:15),'r') ...
Similar to the LSTM, the GRU uses a sigmoid function to activate its gates, resulting in values ranging between 0 and 1. Reset gates are designed to determine the extent to which the previous state should be retained. Additionally, a gate that regulates the proportion of the new state ...
pointwise values of that density), one does not necessarily have that u satisfies the Hamilton–Jacobi equation in the viscosity sense or even in the sense of distributions; this is replaced by an even weaker criterion that essentially says u behaves like the value function on the support of ...
numRAValues = 10; Objective-function definition used bygaandpatternsearch: util = -(expRetExt*(Wts') - A*Wts*expCovExt*(Wts')/2) objfun = @(Wts) util(Wts); Objective function is the negative of utility, sincegaandpatternsearchare minimizers. Refer to the Financ...
If the voltage gain of the amplifier, K, is large, it is reasonable to assume that the terminal voltage of the amplifier (v−−v+) must be small for reasonable values of the output voltage. In the case shown, since the positive terminal is grounded (fixed at 0 volts), the negative...