Narrow search
Showing 1 - 10 of 11,245
Cover Image
Predictability of bull and bear markets : a new look at forecasting stock market regimes (and returns) in the US
Haase, Felix; Neuenkirch, Matthias - 2021
-switching models, and forecast combination to predict the dynamics in the S&P 500. First, we aggregate the weekly information of 115 …
Persistent link: https://www.econbiz.de/10012416151
Cover Image
Seven pitfalls of technical analysis
Caporale, Guglielmo Maria; Plastun, Alex - 2023
This paper examines the main drawbacks of technical analysis. Although this is widely used by practitioners, from an academic perspective it can only be seen as a form of "voodoo finance". In particular, it runs into the following pitfalls: Subjectivity; Doubtful assumptions; Unjustified...
Persistent link: https://www.econbiz.de/10013489574
Cover Image
Exponent of cross-sectional dependence : estimation and inference
Bailey, Natalia; Kapetanios, George; Pesaran, M. Hashem - 2012
An important issue in the analysis of cross-sectional dependence which has received renewed interest in the past few years is the need for a better understanding of the extent and nature of such cross dependencies. In this paper we focus on measures of cross-sectional dependence and how such...
Persistent link: https://www.econbiz.de/10009488893
Cover Image
Spot variance path estimation and its application to high frequency jump testing
Bos, Charles S.; Janus, Paweł; Koopman, Siem Jan - 2009
This paper considers spot variance path estimation from datasets of intraday high frequency asset prices in the presence of diurnal variance patterns, jumps, leverage effects and microstructure noise. We rely on parametric and nonparametric methods. The estimated spot variance path can be used...
Persistent link: https://www.econbiz.de/10011379469
Cover Image
Fractional integration and fat tails for realized covariance kernels and returns
Lucas, André; Opschoor, Anne - 2016 - This version: September 1, 2016
We introduce a new fractionally integrated model for covariance matrix dynamics based on the long-memory behavior of daily realized covariance matrix kernels and daily return observations. We account for fat tails in both types of data by appropriate distributional assumptions. The covariance...
Persistent link: https://www.econbiz.de/10011531139
Cover Image
Exponent of cross-sectional dependence for residuals
Bailey, Natalia; Kapetanios, George; Pesaran, M. Hashem - 2018
In this paper we focus on estimating the degree of cross-sectional dependence in the error terms of a classical panel data regression model. For this purpose we propose an estimator of the exponent of cross-sectional dependence denoted by α; which is based on the number of non-zero pair-wise...
Persistent link: https://www.econbiz.de/10011900761
Cover Image
Forecasting random walks under drift instability
Pesaran, M. Hashem (contributor); Pick, Andreas (contributor) - 2008
Persistent link: https://www.econbiz.de/10003711763
Cover Image
Measuring uncertainty of a combined forecast and some tests for forecaster heterogeneity
Lahiri, Kajal; Peng, Huaming; Sheng, Xuguang - 2015
We have argued that from the standpoint of a policy maker, the uncertainty of using the average forecast is not the … that the uncertainty of the average forecast can be expressed as the disagreement among the forecasters plus the volatility … the conceptually correct benchmark forecast uncertainty. …
Persistent link: https://www.econbiz.de/10011305389
Cover Image
What do professional forecasters actually predict?
Nibbering, Didier; Paap, Richard; Wel, Michel van der - 2015
In this paper we study what professional forecasters actually explain. We use spectral analysis and state space modeling to decompose economic time series into a trend, a business-cycle, and an irregular component. To examine which components are captured by professional forecasters we regress...
Persistent link: https://www.econbiz.de/10011305773
Cover Image
Quantifying time-varying forecast uncertainty and risk for the real price of oil
Aastveit, Knut Are; Cross, Jamie; Dijk, Herman K. van - 2021
We propose a novel and numerically efficient quantification approach to forecast uncertainty of the real price of oil …, estimation of time-varying forecast biases and facets of miscalibration of individual forecast densities and time-varying inter …-varying forecast uncertainty and risk for the real price of oil over the period 1974-2018. We show that the combination approach …
Persistent link: https://www.econbiz.de/10012545165