Results 131 to 140 of about 72,454 (299)
Coherent Forecasting of Realized Volatility
Journal of Forecasting, EarlyView.ABSTRACT The QLIKE loss function is the stylized favorite of the literature on volatility forecasting when it comes to out‐of‐sample evaluation and the state of the art model for realized volatility (RV) forecasting is the HAR model, which minimizes the squared error loss for in‐sample estimation of the parameters.
Marius Puke, Karsten Schweikert
wiley +1 more source
The Effect of Exchange Rate Volatility on the private sector consumption in Iran (1352-90) [PDF]
فصلنامه پژوهشهای اقتصادی ایران, 2014 The real exchange rate is considered as a basic indicator in determining the level of international competition that explain the internal situation of the country. Instability in the performance of this Index implies imbalance in the economy. Instability
Hamid La'l Khezri +2 more
doaj
Alternative GARCH in Mean Models: An Application to the Korean Stock Market [PDF]
The purpose of this paper is the theoretical and empirical comparison of alternative GARCH-in-mean models. We examine three GARCH specifications: Bollerslev's (1986) GARCH model, Taylor (1986) - Schwert's (1989) GARCH model, and Nelson's (1991 ...
J. Kim, Menelaos Karanasos
core
Journal of Forecasting, EarlyView.ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das +2 more
wiley +1 more source
Predicción de activos financieros usando modelos ARIMA y Redes Neuronales Autorregresivas
Revista Ingeniería, Matemáticas y Ciencias de la InformaciónEn este trabajo son aplicados diferentes métodos de pronóstico para predecir los precios y rendimientos de las acciones para dos de las principales empresas que transan en la bolsa de valores de Colombia: Bancolombia y Ecopetrol.
Johan Andrés Uribe Escudero +2 more
doaj +1 more source
On The Continuous Limit of GARCH [PDF]
GARCH processes constitute the major area of time series variance analysis hence the limit of these processes is of considerable interest for continuous time volatility modelling. The limit of the GARCH(1,1) model is fundamental for limits of other GARCH
Carol Alexandra, Emese Lazar
core
Journal of Time Series AnalysisGeneralized Autoregressive Conditional Heteroscedasticity (GARCH) model and its variations have been widely adopted in the study of financial volatilities, while the extension of GARCH‐type models to high‐dimensional data is always difficult because of over‐parameterization and computational complexity. In this article, we propose a multi‐variate GARCH‐
Yue Pan, Jiazhu Pan
openaire +3 more sources
Intraday Functional PCA Forecasting of Cryptocurrency Returns
Journal of Forecasting, EarlyView.ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley +1 more source
Tempered stable and tempered infinitely divisible GARCH models [PDF]
In this paper, we introduce a new GARCH model with an infinitely divisible distributed innovation, referred to as the rapidly decreasing tempered stable (RDTS) GARCH model.
Bianchi, Michele Leonardo +3 more
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Journal of Forecasting, EarlyView.ABSTRACT This paper adopts a bivariate Markov‐switching multifractal (BMSM) model to reexamine comovement in SV between commodity, foreign exchange (FX), and stock markets. After the 2007–2008 global financial crisis understanding volatility linkages and the correlation structure between these markets becomes very important for risk analysts, portfolio
Ruipeng Liu +3 more
wiley +1 more source