Nonlinear analysis for forecasting currencies: are they useful to the portfolio manager?

The importance of a time-varying specification for both the return and the risk of financial assets is well known. The purpose of this study is to investigate if some of the most recently developed econometric models, combined with technical indicators often used by practitioners, can significantly predict future returns. While most studies have focused on either univariate series or in-sample analyses of a given econometric specification, this study considers a multivariate framework where a US based investor daily reallocates a portfolio of three currencies (Deutschmark, Swiss Franc and Japanese Yen). Series of three years out-of-sample forecasts are analysed in terms of risk and return and it is shown that some of the tested speciications can indeed signiicantly predict future daily returns and correlations over this three-year period.     

An utility-based decision support sustainability model in slow steaming maritime operations

This paper analyses slow steaming sustainability initiatives and generalizes the traditional discrete cost-based decision support model into novel continuous utility-based models. Two models based on logarithmic and linear utility functions are developed for risk-averse and risk-neutral decision makers respectively. The models, considering fuel consumption, carbon emission, and on time delivery, are applied to a Trans-pacific trade service route. A sensitivity analysis is conducted on parameters of sailing distance, expected transit time, quantity, and emission policies. The model contributes to ship liners on the optimal speed decisions in continuous utility-based slow steaming operations.     

Some Reflections on the Spatial Dimensions of Occupational Segregation

This paper considers the role that urban spatial structure may play in the process of occupational segregation, and argues that neoclassical economic models of urban employment and residential location decisions have not considered the relationship between gender-based labor market status and space. The paper provides a critical feminist perspective on how conventional urban models have been used to explain patterns of segregation, and suggests reasons for limitations in existing theoretical and empirical analysis. It also explores ways in which economists can draw on work in other disciplines to develop fuller and more useful models of the relationship between urban spatial structure and occupational segregation.     

How to Construct a Random Probability Measure

This article presents an overview of several constructive methods for generating random probability measures. Applications of random probability measures include Bayesian statistics, average optimal control problems, average error bounds for numerical equation solving methods, and models for random distributions of mass in space.     

Reforming Social Security in a Transition Economy: The Case of Lithuania

This paper points out a number of problems associated with the existing pension system in Lithuania. Reforms are proposed, including (i) a substantial increase in the basic pension benefit rate, financed on a pay-as-you-go basis, provided universally, and regulated according to wage/price indexation; (ii) a significant cut in the tax contribution rate to the public pension system matched by a rise in the VAT; (iii) a rise in the retirement age to 65 for both men and women; and (iv) a gradual conversion to a private, funded, mandatory pension system to replace the earnings-related part of the current pension system.     

Efficiency tests with overlapping data: an application to the currency options market

This paper presents the results of an empirical study into the efficiency of the currency options market. The methodology derives from a simple model often applied to the spot and forward markets for foreign exchange. It relates the historic volatility of the underlying asset to the implied volatility of an option on the underlying at a specified prior time and then proceeds to test obvious hypotheses about the values of the coefficients. The study uses panel regression to address the problem of overlapping data which leads to dependence between observations. It also uses volatility data directly quoted on the market in order to avoid the biases which may occur when ‘backing out’ volatility from specific option pricing models. In general, the evidence rejects the hypothesis that the currency option market is efficient. This suggests that implied volatility is not the best predictor of future exchange rate volatility and should not be used without modification: the models presented in this paper could be a way of producing revised forecasts.     

Inventory inaccuracies in the wholesale supply chain

The inventory level shown in the Information System contrary to popular belief and assumptions in most academic papers and in spite of the considerable amounts invested in information technology, is often inaccurate. The inventory inaccuracy occurs when the inventory shown in the Information System is not in agreement with the actually available inventory. In this paper, we first describe the major factors generating inventory inaccuracy. Then, we provide situations permitting to manage an inventory system subject to errors. We provide a general framework permitting to model the inventory inaccuracy issue. In particular, we link the inaccuracy issue with the well known random yield problem. The shown link permits us to derive the optimal ordering policy of an inventory framework where demand satisfaction is done based on the inventory records (which are subject to inaccuracies). We also propose an analysis permitting to show the added value of an advanced identification system such as the RFID technology.     

基于纳税遵从理论的纳税遵从影响因素分析

提高纳税遵从度是稳定国家税收的重要保障,分析影响纳税遵从的因素,有助于提高纳税遵从度。本文从国内外研究纳税遵从的理论入手,从预期理论、前景理论、公共物品理论、公平理论、信息经济学、新公共管理主义、新制度经济学几个方面,找出影响纳税遵从的各项因素。     

Saving–investment correlations, capital mobility and crowding out: some further results

This study attempts to reassess the evidence on the degree of capital mobility and crowding out by applying a varying coefficients model to data on 19 OECD countries over the 1971–1999 period. Our period-specific results strongly support the crowding-out effect as well as the low capital mobility argument for this group of countries as a whole. However, the strength of the crowding-out effect appears to weaken and the degree of capital mobility to increase in the 1990s as compared to the 1970s and 1980s. We also classify countries into five groups according to the relative size of the government sector. Our group-specific results indicate that the degree of capital mobility is generally lower and the crowding-out effect generally stronger, in country groups with smaller governments. The differences are especially evident when we compare the group with largest government size with all other groups, those differences between the latter being much more modest. However, significant differences in the country-specific results suggest that it is prudent to be cautious when we draw conclusions about crowding-out and capital mobility for specific countries from the period-wise or group-wise results. This is particularly important in drawing policy implications for specific countries.     

The relationship between expected utility and higher moments for distributions captured by the Gram–Charlier class

In this letter we derive the closed form solution for expected utility in terms of higher moments of the distribution of wealth when expected utility takes the CARA form and the distribution of wealth is captured by the Gram–Charlier class of distributions. We derive the condition under which positive skewness can be associated with a decrease in expected utility.