[PDF] Top 20 Forecasting bubbles with mixed causal noncausal autoregressive models
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Forecasting bubbles with mixed causal noncausal autoregressive models
... MAR models (see Hecq, Telg, and Lieb, ...an autoregressive model by OLS on the whole HP-detrended Nickel price ...the causal and the noncausal parameters are respectively ... See full document
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Forecasting bubbles with mixed causal noncausal autoregressive models
... MAR models to predict both explosive and stable episodes remains scarce (see also Lanne, Nyberg, and Saarinen, 2012 and Gouri´eroux, Hencic, and Jasiak, ...for forecasting MAR(r,1) models, with ... See full document
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Optimal Forecasting of Noncausal Autoregressive Time Series
... the noncausal AR(1,4) model in den- sity forecasting is given by the box-and-whisker plots of recursive one-step density forecasts in Figure ...the causal AR(5,0) model, shose perfomance in density ... See full document
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Bayesian Model Selection and Forecasting in Noncausal Autoregressive Models
... for noncausal autoregressive (AR) ...alternative causal and noncausal ...either causal or purely noncausal ...purely noncausal AR model gets the strongest support, but ... See full document
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Do Seasonal Adjustments Induce Noncausal Dynamics in Inflation Rates?
... on forecasting the inflation rate of ...an autoregressive structure, its forecasts are computed using solely ...other models, we find that the null hypothesis of normality can be rejected according ... See full document
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Mixed Causal Noncausal Autoregressions with Strictly Exogenous Regressors
... We can see that all information criteria tend to underestimate the true lag order (especially BIC) in small samples. The performance improves when T grows larger but at T = 500 we still observe correct ... See full document
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Local Explosion Modelling by Noncausal Process
... basic noncausal α-stable AR(1) process can be used as a cornerstone to create local explosions in dynamic models, with different magnitudes and rates of explosion by ...the noncausal Cauchy AR(1) ... See full document
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Mixed Causal Noncausal AR Processes and the Modelling of Explosive Bubbles
... model bubbles in financial ...of bubbles, noncausal AR(1) processes with stable distributed errors exhibit surprising features such as a predictive distribution with lighter tails than the marginal ... See full document
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Detecting Co Movements in Noncausal Time Series
... both causal and noncausal vector autoregressive (VAR) ...for forecasting accuracy, parameter efficiency as well as for the interpretation of business cycle co-movements and the evaluation of ... See full document
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Noncausal autoregressions for economic time series
... Univariate autoregressive models are commonly employed in characterizing the dy- namics of economic time ...include forecasting and the measurement of persistence (Andrews and Chen (1994)), but also ... See full document
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Econometric forecasting of financial assets using non linear smooth transition autoregressive models
... linear models to validate the present value model encouraged the assumption of the presence of non-linear dynamics within the relationship between stock prices and their determinants, in particular dividend yield ... See full document
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Forecasting Annual International Tourist Arrivals in Zambia Using Holt Winters Exponential Smoothing
... DOI: 10.4236/ojs.2019.92019 259 Open Journal of Statistics (overnight visitor) is an individual who travels to a country other than that in which they reside for a period not exceeding 12 months and whose main pur- pose ... See full document
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Estimation and forecasting in vector autoregressive moving average models for rich datasets
... The forecasting exercise is performed in pseudo real time, with a fixed rolling window of 400 ...All models considered in the exercise are estimated in every ... See full document
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Forecasting solid waste generation in Juba Town, South Sudan using Artificial Neural Networks (ANNs) and Autoregressive Moving Averages (ARMA)
... weekly forecasting of solid waste generation in some households of Juba Town, South ...ARMA models was primarily used for easy visualization and interpretation of input signals as well as frequencies in the ... See full document
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<p>Application of a hybrid model in predicting the incidence of tuberculosis in a Chinese population</p>
... ARIMA model is designed to analyze the liner part of the original data, and the residual series from this linear model will contain a nonlinear relationship. 24 The ARIMA model excels at extracting linear information ... See full document
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Forecasting International Tourism Demand- An Empirical Case in Taiwan
... In dealing with the problems of poor information data set, Grey theory has been frequently used (Hsu and Chen, 2003; Liu, 2007). Grey model (GM), the core of the theory, is used to execute short-term forecasting ... See full document
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Using autoregressive integrated moving average models in the analysis and forecasting of mobile network traffic data
... develop forecasting model for HSDPA traffic and user throughput ...ARIMA models perform better when the countrywide scenarios are considered while exponential smoothing models give better performance ... See full document
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A Range Based GARCH Model for Forecasting Volatility
... that models using the Generalized Error Distribution performed relatively well using the five forecasting criteria, with 8 out of 17 models landing in the top 10 ...the models with relatively ... See full document
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Maternal Smoking and Child Psychological Problems: Disentangling Causal and Noncausal Effects
... a causal relationship between maternal smoking and offspring conduct/exter- nalizing problems, but this association was not found for offspring attention- deficit/hyperactivity disorder or emo- tional/internalizing ... See full document
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FORECASTING FRESH WATER AND MARINE FISH PRODUCTION IN MALAYSIA USING ARIMA AND ARFIMA MODELS
... ARFIMA models will be presented in this section. However, since both the models are unable to capture the actual values of the pelagic marine fish production in Malaysia as given in Section ...the ... See full document
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