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using forecast rationality tests. Previous studies of German GDP covering data until 1997 finds that revisions of real …
Persistent link: https://www.econbiz.de/10010280790
forecast accuracy in the case where the models generating the forecasts are nested are discussed. There is a numerical example … better forecast by a linear model with a unit root. Finally, some empirical studies that compare forecasts from linear and …
Persistent link: https://www.econbiz.de/10010281245
We summarize some methods useful in formulating and solving Hansen-Sargent robust control problems, and suggest extensions to discretion and simple rules. Matlab, Octave, and Gauss software is provided. We illustrate these extensions with applications to the term structure of interest rates, the...
Persistent link: https://www.econbiz.de/10010281269
This paper contains a survey of univariate models of conditional heteroskedasticity. The classical ARCH model is mentioned, and various extensions of the standard GARCH model are highlighted. This includes the Exponential GARCH model. Stochastic volatility models remain outside this review.
Persistent link: https://www.econbiz.de/10010281357
. This approach is applied for temperature futures referring to New York, Minneapolis and Cincinnati with forecast data 13 … days in advance. Despite this relatively short forecast horizon, the models using meteorological forecasts outperform the … classical approach and more accurately forecast the market prices of the temperature futures traded at the Chicago Mercantile …
Persistent link: https://www.econbiz.de/10010281477
This study analyses credit default risk for firms in the Asian and Pacific region by applying two methodologies: a Support Vector Machine (SVM) and a logistic regression (Logit). Among different financial ratios suggested as predictors of default, leverage ratios and the company size display a...
Persistent link: https://www.econbiz.de/10010281539
as if no market prices of equity were available for the bank the forecast is made for. We do this for banks for which … exposure data does not help reduce volatility forecast error magnitude. …
Persistent link: https://www.econbiz.de/10010281560
]). Nichtparametrische Verfahren können daher problemlos auch zur Prognose eingesetzt werden. Dieses Kapitel ist wie folgt strukturiert …
Persistent link: https://www.econbiz.de/10010281577
counts. The model is applied to forecast quoted bid-ask spreads, a key parameter in stock trading operations. It is shown …
Persistent link: https://www.econbiz.de/10010281578
In this paper, we provide new empirical evidence on order submission activity and price impacts of limit orders at NASDAQ. Employing NASDAQ TotalView-ITCH data, we find that market participants dominantly submit limit orders with sizes equal to a round lot. Most limit orders are canceled almost...
Persistent link: https://www.econbiz.de/10010281582