Showing 1 - 10 of 125
Deciding upon the optimal sample size in advance is a difficult problem in general. Often, the investigator regrets not having drawn a larger sample; in many cases additional observations are done. This implies that the actual sample size is no longer deterministic; hence, even if all sample...
Persistent link: https://www.econbiz.de/10011091204
indicators in such settings face the problem of insufficient data.Extreme value theory is particularly well suited for handling … this type of problems.This paper uses a multivariate extreme value theory approach to establish thresholds for signaling …
Persistent link: https://www.econbiz.de/10011091504
AMS classifications: 62G20; 62G32;
Persistent link: https://www.econbiz.de/10011092196
Persistent link: https://www.econbiz.de/10011092642
This paper is concerned with issues of model specification, identification, and estimation in exchange rate models with unobservable fundamentals.We show that the model estimated by Gardeazabal, Reg´ulez and V´azquez (International Economic Review, 1997) is not identified and demonstrate how...
Persistent link: https://www.econbiz.de/10011090961
This paper critically evaluates the policy literature surrounding China's exchange rate regime.It first discusses several popularly raised contentions in relation to the dollar peg employed by China, which in fact are poorly grounded in evidence.These include notions that the RMB is clearly...
Persistent link: https://www.econbiz.de/10011091763
Persistent link: https://www.econbiz.de/10011091954
Recent empirical research on the effects of monetary policy shocks on exchange rate fluctuations have encountered the exchange rate puzzle and th e forward discount bias puzzle.The exchange rate puzzle is the tendency of the domestic currency (of non-US G-7 countries) to depreciate against the...
Persistent link: https://www.econbiz.de/10011092111
In this paper we investigate global optimization for black-box simulations using metamodels to guide this optimization. As a novel metamodel we introduce intrinsic Kriging, for either deterministic or random simulation. For deterministic simulation we study the famous `efficient global...
Persistent link: https://www.econbiz.de/10011144433
Kriging is a popular method for estimating the global optimum of a simulated system. Kriging approximates the input/output function of the simulation model. Kriging also estimates the variances of the predictions of outputs for input combinations not yet simulated. These predictions and their...
Persistent link: https://www.econbiz.de/10011144439