Detecting the number of breaks in the mean can be challenging when it comes to the long memory framework. Tree-based procedures can be applied to time series when the location and number of mean shifts are unknown and estimate the breaks consistently though with possible overfitting. For pruning...

Detecting the number of breaks in the mean can be challenging when it comes to the long memory framework. Tree-based procedures can be applied to time series when the location and number of mean shifts are unknown and estimate the breaks consistently though with possible overfitting. For pruning...

Because of non-traded human capital, real-world fi nancial markets are massively incomplete. The modeling of imperfect, dynamic financial markets is a wide-open and difficult field, as yet barely ploughed. Following Cox, Ross and Rubinstein (1979), who calculated the prices of derivative...

The decision tree algorithm for monotone classification presented in [4, 10] requires strictly monotone data sets. This paper addresses the problem of noise due to violation of the monotonicity constraints and proposes a modification of the algorithm to handle noisy data. It also presents...

This paper describes a real options valuation method for situations where the underlying asset may have negative values and the underlying project present value distribution is something of the shape between normal and lognormal distribution causing skewness to the rate of return distribution....