Oil price forecasting under asymmetric loss

Based on the approach developed by Elliott et al. (2005), we found that the loss function of a sample of oil price forecasters is asymmetric in the forecast error. Our findings indicate that the loss oil price forecasters incurred when their forecasts exceeded the price of oil tended to be larger than the loss they incurred when their forecast fell short of the price of oil. Accounting for the asymmetry of the loss function does not necessarily make forecasts look rational.     

Model stability and forecast performance of Beta-t-EGARCH

We show that the model stability of the recent QAR(1) plus Beta-t-EGARCH(1,1) is superior to that of the well-known ARMA(1,1) plus t-GARCH(1,1) because QAR plus Beta-t-EGARCH discounts extreme observations, while ARMA plus t-GARCH accentuates them. Model stability of QAR plus Beta-t-EGARCH is an elegant property; however, we show that the out-of-sample density forecast performance of ARMA plus t-GARCH is superior to that of QAR plus Beta-t-EGARCH. We study model stability and density forecast performance for a set of rolling data windows. We use data on the S&P 500 index for the period 1990–2015. For robustness analysis, we also study Monte Carlo simulations of asset returns for the stochastic volatility model.     

Bayesian shrinkage estimates and forecasts of individual and total or aggregate outcomes

Bayesian shrinkage à la Stein and others can improve estimation of individual parameters and forecasts of individual future outcomes. In this paper the issue of the impact of shrinkage on the estimation of sums or totals of individual parameters and of individual outcomes is analyzed. Quadratic and “balanced” loss functions will be employed. The latter are a linear combination of “goodness of fit” and “precision of estimation” loss functions. Several examples will be analyzed in detail to illustrate general principles.     

Asymptotic confidence bands for the estimated autocovariance and autocorrelation functions of vector autoregressive models

This paper provides closed-form formulae for computing the asymptotic covariance matrices of the estimated autocovariance and autocorrelation functions of stable VAR models by means of the delta method. These covariance matrices can be used to construct asymptotic confidence bands for the estimated autocovariance and autocorrelation functions to assess the underlying estimation uncertainty. The usefulness of the formulae for empirical work is illustrated by an application to inflation and output gap data for the U.S. economy indicating the existence of a significant short-run Phillips-curve tradeoff.First version received: November 2002/Final version received: September 2003     

Trade distance functions and the derivation of inverse demand for imports

This article introduces a new representation of trade preferences termed as the trade distance function, which measures the maximum amount by which import quantities must be deflated or inflated to reach the indifference surface. The properties of this function are discussed and employed to derive systems of inverse demand for imported goods. We illustrate its usefulness by proposing two new parametric forms of trade distance functions. While the trade distance function directly yields Hicksian inverse demand functions of imports, they usually lack closed-form representations in terms of observable variables. This problem, however, need not hinder estimation and could be solved by using the numerical inversion estimation method. Results generally indicate that the suggested modelling and estimation methods are operationally, implying that the trade distance function approach is a promising tool of the empirical analysis of import demands subjected to tight theoretical conditions.     

Asymmetric effects of monetary policy shocks on economic performance: empirical evidence from Turkey

This study investigates the asymmetric effects of monetary policy shocks on the macroeconomic variables of exchange rate, output and inflation for an emerging economy ? Turkey ? by using monthly data between 1990 and 2014. We employ the innovative nonlinear vector autoregressive model of Kilian and Vigfusson (2011), which allows us to observe the effect of different stances (tight or loose) and different sizes (small or large) of monetary policy actions. Our empirical evidence reveals that tight monetary policy, which, in this case, is captured with a positive shock to interest rate, decreases exchange rate, output and prices, as economic theory suggests. Loose monetary policy, which is captured with a negative shock to interest rate, has the opposite effect on these variables. However, the effects of loose monetary policy are weaker than the effects of tight monetary policy because loose monetary policy shocks are less effective than tight monetary policy shocks. Moreover, as the magnitude of a shock increases, the difference between the effects of tight and loose monetary policy policies also increases.     

Measuring economic loss caused by ecological damages： a case study of China＇s forest ecosystem in 2005

At present about 60% of ecosystem has been damaged and degraded severely, resulting in enormous ecological loss globally. The essential cause is the irrational utilization of ecosystem by humankind, so it is tire key to changing improper environmental performance of humankind so as to prevent ecosystem from being damaged The quantitative valuation on the loss of ecological damage is an effective tool to guide human eco-environmental performance. In this paper, the concepts related to the valuation on ecological damage cost are introduced,＂ uncertainties that might arise in the valuation on the loss of ecological damage such as area coverage of valuation, ecological damage quantity, borders of ecological damage cost and data support are analyzed and the valuation approaches for the loss of ecological damage are also discussed As a case study, the economic losses of ecological damage of forest in 2005 in China are valuated.     

Estimating parameters of real business cycle models

The calibration technique is the most common procedure to match the data generated from an equilibrium business cycle model with actual macroeconomic time series. This paper goes a step further and tests and applies a maximum likelihood procedure, in combination with the simulated annealing, to estimate the parameters of a baseline RBC model from U.S. macroeconomic time series data. The procedure is tested on a simulated data set where the parameters are known and then applied to U.S. time series data. This permits us to evaluate the efficiency of the procedure and the extent to which the RBC model is a good representation of macroeconomic data.     

The equilibrium manifold keeps the memory of individual demand functions

Summary. It is shown that the property that the equilibrium manifold keeps the memory of the individual demand functions holds true if every individual demand function satisfies the following three properties: 1) It is a function of commodity prices and of consumers income; 2) Consumption belongs to the nonnegative orthant of the commodity space; 3) Walras law. Neither differentiability nor continuity are necessary. In addition, the demand functions do not have to be utility maximizing subject to budget constraints.Received: 2 September 2003, Revised: 26 January 2004, JEL Classification Numbers: D50, D51.A preliminary version of this paper was released in October 1999 under the title Deriving individual demand functions from the equilibrium manifold. I wish to thank an anonymous referee for thoughtful comments.     

The diversity of models as a means to better explanations in economics

ABSTRACT

In Economics Rules, Rodrik [(2015). Economics rules: Why economics works, when it fails, and how to tell the difference. Oxford: Oxford University Press] argues that what makes economics powerful despite the limitations of each and every model is its diversity of models. Rodrik suggests that the diversity of models in economics improves its explanatory capacities, but he does not fully explain how. I offer a clearer picture of how models relate to explanations of particular economic facts or events, and suggest that the diversity of models is a means to better economic explanations.     

Continuity of the payoff functions

Summary. In his Nash equilibrium paper, Glicksberg states that the payoff functions are continuous. Such a function is defined on the product of mixed strategies, which are the Borel probability measures on a compactum, endowed with the product of the weak topologies. The continuity property is used in proving the existence of Nash equilibria. This note proves that the payoff functions are continuous, which is not immediate to establish. Received: June 10, 1999; revised version: June 24, 1999     

Estimating the effects of forward guidance in rational expectations models

Simulations of forward guidance in rational expectations models should be assessed using the “modest policy interventions” framework introduced by Eric Leeper and Tao Zha. That is, the estimated effects of a policy intervention should be considered reliable only if that intervention is unlikely to trigger a revision in private sector beliefs about the way that monetary policy will be conducted. I show how to constrain simulations of forward guidance to ensure that they are regarded as modest policy interventions and illustrate the technique using a medium-scale DSGE model estimated on US data. I find that many experiments that generate the large responses of macroeconomic variables deemed implausible by many economists – the so-called “forward guidance puzzle” – are not modest policy interventions. Those experiments should therefore be treated with caution, since they may prompt agents to believe that there has been a change in the monetary policy regime that is not accounted for within the model. More reliable results can be obtained by constraining the experiment to be a modest policy intervention. In the cases I study, the quantitative effects on macroeconomic variables are more plausible when this constraint is imposed.     

Estimating the speed of adjustment of European banking efficiency under a quadratic loss function

This paper investigates the speed of adjustment of cost efficiency to equilibrium level in the European banking industry. Our analysis provides for the first time insights into the process of convergence across European banking markets as measured by the speed of adjustment of cost efficiency. In particular, we employ a quadratic loss function specification based on forward-looking rational expectations to model the underlying dynamics of efficiency scores in the banking industry of the EU-15 region over the period 1998–2005. Results show that there is considerable variation in the speed of adjustment across banking systems, while over time it appears that continuing efforts to advance financial integration have led to some improvement in the speed of adjustment to the long-run equilibrium.     

索洛方程在环境污染损失评估领域的应用

基于可持续发展理论,提出了一种将索洛方程用于评估环境污染损失价值的新方法———静态索洛方程法。该方法将环境视为新的生产要素,认为一个系统的产出是资本、劳动力(以及环境共同作用的结果。然后,以某热电厂为例,对其环境污染损失进行了计算,以说明该方法的可行性。     

Estimating monetary policy reaction functions for emerging market economies: The case of Brazil

The paper investigates monetary policy in Brazil following a shift to a floating exchange rate alongside inflation targeting adoption. The benchmark reaction function reveals that the Central Bank behaves according to the Taylor principle by raising the overnight Selic policy interest rate more than the amount by which expected inflation exceeds the target. The investigation also considers a data-rich environment via an excess policy response containing information from a panel of 45 economic time series. The excess policy response carries a positive and significant coefficient in the reaction function including only an inflation gap variable.     

The governance structures of Japanese credit associations and their objective functions

Although Japanese credit associations are non-profit cooperative financial institutions, they assume the same financial functions as regional banks that are stock companies and they could compete with each other in a regional market. On the other hand, the governance structures of credit associations tend to exhibit weaker discipline than those of regional banks, and, for this reason, the financial performances of credit associations and regional banks might differ. In this article, we empirically investigated whether the objective functions of credit associations are different from those of regional banks considering their different governance structures. As a result, although significant differences of profitability of these two types of institutions were not detected, it was demonstrated that credit associations can capture a greater share of deposits than regional banks and the former are more conservative in risk taking than the latter. From these, there is a possibility that Japanese credit associations have different objective functions from regional banks.     

Asymmetry and the Problem of Aggregation in the Euro Area

This paper highlights the implications for a single monetary policy when key economic relationships are nonlinear or asymmetric at a disaggregate level. Using data for the EU and OECD countries we show that there are considerable non-linearities and asymmetries in the Phillips and Okun curves. High unemployment has relatively limited effect in pulling inflation down while low unemployment can be much more effective in driving it up. Downturns in the economy are both more rapid and sustained in driving unemployment up than recoveries are in bringing it down. There is considerable variety in these relationships and IS curves across not just countries but also sectors and regions.     

Estimation of hedonic price functions via additive nonparametric regression

We model a hedonic price function for housing as an additive nonparametric regression. Estimation is done via a backfitting procedure in combination with a local polynomial estimator. It avoids the pitfalls of an unrestricted nonparametric estimator, such as slow convergence rates and the curse of dimensionality. Bandwidths are chosen using a novel plug in method that minimizes the asymptotic mean average squared error (AMASE) of the regression. We compare our results to alternative parametric models and find evidence of the superiority of our nonparametric model. From an empirical perspective our study is interesting in that the effects on housing prices of a series of environmental characteristics are modeled in the regression. We find these characteristics to be important in the determination of housing prices.First version received: October 2002/Final version received: October 2003We thank B. Baltagi and two anonymous referees for their comments. The authors retain responsibility for any remaining errors.     

The effect of investment and withdrawal horizons on myopic loss aversion

Using unique survey data, we find that a longer investment horizon (6–10 years and 11+ years) reduces the likelihood of exhibiting myopic loss aversion (MLA) compared to an investment horizon of less than 2 years. In addition, we find that investors with higher levels of assets under management (AUM) are less likely to exhibit MLA compared to the lowest AUM quartile.     

Plucking models of business cycle fluctuations: Evidence from the G-7 countries

Friedman's `plucking' model, in which output cannot exceed a ceiling level but is occasionally plucked downward by recessions, is tested using Kim and Nelson's formal econometric specification on output data from the G-7 countries. Considerable support for the model is obtained, leading us to conclude that during normal periods, output seems to be driven mostly by permanent shocks, but during recessions and high-growth recoveries, transitory shocks dominate. During these periods macroeconomic models that emphasise demand-oriented shocks, rather than real business cycle type models, may thus be more appropriate. First Version Received: September 2000/Final Version Received: May 2001