Showing 1 - 10 of 108
Persistent link: https://www.econbiz.de/10008314501
Aimed at better modeling insurance claims in an economic environment driven by business cycles, a new Markov-modulated Poisson process model is proposed, and an algorithm is derived to estimate the hidden Markov process by using the observed information. Our method differs from existing ones in...
Persistent link: https://www.econbiz.de/10008521293
One challenging and exigent problem in behavior finance is how to establish verifiable models describing the appearance and burst of price bubbles. Current results are enhanced in this paper through a series of improvement as follows: new models are proposed for describing the return and...
Persistent link: https://www.econbiz.de/10009249338
A Poisson process with stochastic intensity is utilized to model changes of a benchmark interest rate set by a Central Bank. We propose explicit formulas for estimators of parameters and the expectation of the intensity, based on observations of the process. Through comparing the intensity and...
Persistent link: https://www.econbiz.de/10010753336
Persistent link: https://www.econbiz.de/10009328706
<Para ID="Par1">It is well known that firings of a well-stirred chemically reacting system can be described by a continuous-time Markov chain. The currently-used exact implementations of Gillespie’s algorithm simulate every reaction event individually and thus the computational cost is inevitably high. In...</para>
Persistent link: https://www.econbiz.de/10011241333
General multiperiod optimal consumption and investment problems with proportional transaction costs are investigated in this paper, a <Emphasis Type="Bold">GARCH-type process is used to model the risky asset’s return series so that its time-varying moments and conditional heteroskedasticity can be properly...</emphasis>
Persistent link: https://www.econbiz.de/10010999549
The mean-risk stochastic mixed-integer programs can better model complex decision problems under uncertainty than usual stochastic (integer) programming models. In order to derive theoretical results in a numerically tractable way, the contamination technique is adopted in this paper for the...
Persistent link: https://www.econbiz.de/10010847589
The mean-risk stochastic mixed-integer programs can better model complex decision problems under uncertainty than usual stochastic (integer) programming models. In order to derive theoretical results in a numerically tractable way, the contamination technique is adopted in this paper for the...
Persistent link: https://www.econbiz.de/10010950021
For our introduced mixed-integer quadratic stochastic program with fixed recourse matrices, random recourse costs, technology matrix and right-hand sides, we study quantitative stability properties of its optimal value function and optimal solution set when the underlying probability...
Persistent link: https://www.econbiz.de/10010950206