Showing 1 - 10 of 11
In this paper we examine under what circumstances the information accumulated during market closing time and conveyed to the price formation at market opening may be exploited to predict where the stock price will be at the end of the trading day. In our sample of three financial time series, we...
Persistent link: https://www.econbiz.de/10005687788
Persistent link: https://www.econbiz.de/10003955455
is important for better monitoring and forecasting of inflation in the euro area. In this paper we seek to verify to what …
Persistent link: https://www.econbiz.de/10005113568
In this paper the authors argue that a plausible reason why output and other major U.S. macroeconomic time series seem to follow a Markov switching process might be strictly related to expectations. The authors show that a time series of expectations of future output from the Survey of...
Persistent link: https://www.econbiz.de/10005717418
predictors of interest), selective search within the range of possible models, control of collinearity, out-of-sample forecasting …
Persistent link: https://www.econbiz.de/10005812867
La psicologia mostra che la probabilità soggettiva associata ad eventi economici futuri viene distorta in modo sistematico, rispetto a quella oggettiva, da elementi psicologici diffusi e persistenti. Lo stesso vale per l'interpretazione retrospettiva dei fatti economici. In particolare, si...
Persistent link: https://www.econbiz.de/10005061461
suboptimal for forecasting purposes. The paper proposes the use of a class of shrinkage estimators that includes the Ridge … estimator for forecasting time series, with a special attention to GARCH and ACD models. The local large sample properties of …-daily financial durations forecasting application. The empirical application shows that an appropriate shrinkage forecasting …
Persistent link: https://www.econbiz.de/10005075728
The Multiplicative Error Model introduced by Engle (2002) for non-negative valued processes is specified as the product of a (conditionally autoregressive) scale factor and an innovation process with positive support. In this paper we propose a multivariate extension of such a model, by taking...
Persistent link: https://www.econbiz.de/10005731544
A new method, called relevant transformation of the inputs network approach (RETINA) is proposed as a tool for model building and selection. It is designed to improve on some of the shortcomings of neural networks. RETINA has the flexibility of neural network models, the concavity of the...
Persistent link: https://www.econbiz.de/10005731545
This paper assesses the performance of volatility forecasting using focused selection and combination strategies to … include relevant explanatory variables in the forecasting model. The focused selection/combination strategies consist of … BIC. The methodology is applied to a daily recursive 1--step ahead value--at--risk (VaR) forecasting exercise of 4 widely …
Persistent link: https://www.econbiz.de/10005731546