[PDF] Top 20 Time-varying Models for Macroeconomic Forecasts
Has 10000 "Time-varying Models for Macroeconomic Forecasts" found on our website. Below are the top 20 most common "Time-varying Models for Macroeconomic Forecasts".
Time-varying Models for Macroeconomic Forecasts
... the uptake of renewables, such as the National Energy Act (1978), the Energy Policy Act (2005), and the Energy Independence and Security Act (2007). In fact, renew- able energy policies play a crucial role in REG sector ... See full document
121
Investments and uncertainty revisited: The case of the US economy
... first time the relationship between uncertainty and investments from a macroeconomic perspective for the case of US ...both time depended, as well as, driven by economic ...the ... See full document
21
Model switching and model averaging in time-varying parameter regression models
... di¤erent models goes back to Bates and Granger (1969) and Granger (2006) provides a recent ...cient models and Billio, Casarin, Ravazzolo and van Dijk (2011) who develop an approach with ... See full document
25
Hierarchical Shrinkage in Time-varying Parameter Models
... homoskedastic models with h = 1, our model with Lasso prior on both constant and time-varying coefficients forecasts the best when we use predictive likelihoods to evaluate forecast ...for ... See full document
33
Quasi Bayesian estimation of time varying volatility in DSGE models
... density forecasts for the observables of the model and compare the fore- casting record of NPV-DSGE against the constant volatility (CV-DSGE) model, as well as the stochastic volatility speci…cation (SV-DSGE) ... See full document
10
A flexible approach to parametric inference in nonlinear and time varying time series models
... statistical models which are nonlinear or exhibit structural breaks or time variation in ...or time varying parameter models to examine whether monetary policy rules have changed over ... See full document
38
Time Varying Macroeconomic Risk and Industry Stock Returns: Empirical Evidence from India
... Several models explaining the relation between stock return and its determining factors are available today. The Capital Asset Pricing Model (CAPM) of Sharpe (1964) and Lintner (1965) explains the variation in ... See full document
16
Model Switching and Model Averaging in Time-Varying Parameter Regression Models
... multiple forecasts of ...simple time series forecasting ...over time. After all, it is possible that the time series econometrician (whose forecasts are based on past patterns in the ... See full document
26
Time varying dimension models
... Abstract: Time varying parameter (TVP) models have enjoyed an in- creasing popularity in empirical ...TVP models are parameter-rich and risk over-…tting unless the dimension of the model is ... See full document
34
Variational Bayes inference in high dimensional time varying parameter models
... The discussion of the previous paragraph raises the issue as to whether VBKF is forecasting well simply because it can handle more variables. If this were true, this would only strengthen our argument that developing ... See full document
61
The Time Varying Risk Price of Currency Carry Trades
... Does time variation in the parameters have implications on the size of these errors? Figure 3 provides a visual comparison across our estimation ...the time-varying beta and risk price model, and it ... See full document
53
Markov Switching Models with state dependent time varying transition probabilities
... ML estimates of the parameters of the two models are reported in Table 4. The esti- mated coefficients for the Markov transition functions for Model 1, show that an increase (decrease) in output growth increases ... See full document
36
Required reserves as a credit policy tool
... We find that i the time-varying required reserve ratio rule countervails the negative effects of the financial accelerator mechanism triggered by adverse macroeconomic and financial shocks, [r] ... See full document
35
A Comparison of USDA's Agricultural Export Forecasts with ARIMA based Forecasts
... export forecasts are one subset of the voluminous information USDA provides on ...these forecasts are but one small facet of a broad, integrated program of ...trade forecasts serve as useful ... See full document
5
Post-Regularization Inference for Time-Varying Nonparanormal Graphical Models
... This paper makes two major contributions to the literature on statistical inference for graphical models. First, we develop a general inferential procedure for a wide family of high dimensional graphical model ... See full document
78
Fokker–Planck and Fortet Equation-Based Parameter Estimation for a Leaky Integrate-and-Fire Model with Sinusoidal and Stochastic Forcing
... LIF models with the added complexity of a time-varying input ...the time-varying current is a sinusoidal wave, but we believe that the approaches generalize to an arbitrary periodic ... See full document
30
Time Varying General Dynamic Factor Models and the Measurement of Financial Connectedness
... This impression is clearly confirmed when looking at the spectral connectedness results in Figure 4. Since spectral connectedness are normalized by the size of the frequency band considered, their scale allows for ... See full document
49
Does a financial accelerator improve forecasts during financial crises?: Evidence from Japan with Prediction Pool Methods
... We calculate the posterior predictive distributions of the six individual observations for 1982:Q3 – 1998:Q4 from a Monte Carlo (MC) method using model parameters sampled as posterior estimates in Section 4.1. In the ... See full document
45
Dependence patterns among Banking Sectors in Asia: A Copula Approach
... the time-varying SJC to a large extent have shown substantial evidence of dependence in both the lower and upper tail distributions of the Asian banking sectors which suggests possible similarities in how ... See full document
60
Robust Inference for Time Varying Coefficient Models with Longitudinal Data
... Time-varying coefficient models are useful in longitudinal data analysis. Various efforts have been invested for the estimation of the coefficient functions, based on the least squares principle. Re- ... See full document
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