我国产险业未决赔款准备金修饰盈余实证研究

2005年以前,产险公司根据财务制度提存未决赔款准备金,使公司极易通过提存未决赔款准备金的方式修饰盈余.因此,本文实证分析产险公司财务报表中未决赔款准备金数额与公司运营结果之间的关联性,揭示公司调整未决赔款准备金的动机.结果表明,在财务制度规定下,产险公司确实存在故意调整未决赔款准备金数字,以实现扩张盈余修饰空间的目的.     

Focus forecasting reconsidered

Focus Forecasting is a popular heuristic methodology for production and inventory control although there has never been a rigorous test of accuracy using real time series. We compare Focus Forecasting to damped-trend, seasonal exponential smoothing using five time series of cookware demand in a production planning application. We also make comparisons using 91 time series from the M-Competition study of forecast accuracy. Exponential smoothing was more accurate in both cases.     

Exponential smoothing with a damped multiplicative trend

Multiplicative trend exponential smoothing has received very little attention in the literature. It involves modelling the local slope by smoothing successive ratios of the local level, and this leads to a forecast function that is the product of level and growth rate. By contrast, the popular Holt method uses an additive trend formulation. It has been argued that more real series have multiplicative trends than additive. However, even if this is true, it seems likely that the more conservative forecast function of the Holt method will be more robust when applied in an automated way to a large batch of series with different types of trend. In view of the improvements in accuracy seen in dampening the Holt method, in this paper we investigate a new damped multiplicative trend approach. An empirical study, using the monthly time series from the M3-Competition, gave encouraging results for the new approach at a range of forecast horizons, when compared to the established exponential smoothing methods.     

The Timing of Asset Sales: Evidence of Earnings Management?

This paper presents empirical evidence from a sample of publicly traded Singaporean firms on the question: to what extent do firms manage earnings through the timing of asset sales? Previous studies have focused on accounting motives behind asset sales, ignoring the need to also consider economic motives. Some empirical evidence is provided to support the hypothesis that managers of firms with decreasing net earnings–per–share smooth earnings upwards using asset sales.     

Holt’s exponential smoothing and neural network models for forecasting interval-valued time series

Interval-valued time series are interval-valued data that are collected in a chronological sequence over time. This paper introduces three approaches to forecasting interval-valued time series. The first two approaches are based on multilayer perceptron (MLP) neural networks and Holt’s exponential smoothing methods, respectively. In Holt’s method for interval-valued time series, the smoothing parameters are estimated by using techniques for non-linear optimization problems with bound constraints. The third approach is based on a hybrid methodology that combines the MLP and Holt models. The practicality of the methods is demonstrated through simulation studies and applications using real interval-valued stock market time series.     

Bayesian estimation of an extended local scale stochastic volatility model

A new version of the local scale model of Shephard (1994) is presented. Its features are identically distributed evolution equation disturbances, the incorporation of in-the-mean effects, and the incorporation of variance regressors. A Bayesian posterior simulator and a new simulation smoother are presented. The model is applied to publicly available daily exchange rate and asset return series, and is compared with t-GARCH and Lognormal stochastic volatility formulations using Bayes factors.     

A Comparison of Nonparametric Methods in the Graduation of Mortality: Application to Data from the Valencia Region (Spain)

The nonparametric graduation of mortality data aims to estimate death rates by carrying out a smoothing of the crude rates obtained directly from original data. The main difference with regard to parametric models is that the assumption of an age-dependent function is unnecessary, which is advantageous when the information behind the model is unknown, as one cause of error is often the choice of an inappropriate model. This paper reviews the various alternatives and presents their application to mortality data from the Valencia Region, Spain. The comparison leads us to the conclusion that the best model is a smoothing by means of Generalised Additive Models (GAM) with splines. The most interesting part of this paper is the development of a plan that can be applied to mortality data for a wide range of age groups in any geographical area, allowing the most appropriate table to be chosen for the data in hand.     

调车作业智能化指挥系统的核心功能及其开发

调车作业智能化指挥系统的核心功能是指系统应具备的本质性关键功能,主要包括钩计划编制功能、作业优化功能,以及体现指挥可调性和系统适应性的柔化功能3个部分。探讨这些核心功能的开发途径和方法,并通过引例对比,说明所开发系统可实现的优化水平。     

Cross-country linkages as determinants of procyclicality of loan loss provisions

Procyclicality in banking may result in financial instability and therefore be destructive to economic growth. The sensitivity of different banking balance sheet and income statement variables to the business cycle is diversified and may be prone to increasing integration of financial markets. In this paper, we address the problem of the influence of financial integration on the transmission of economic shocks from one country to another and consequently on the sensitivity of loan loss provisions (LLPs) to the business cycle. The application of the seemingly unrelated regression equations (SURE) approach to 13 OECD countries in 1995–2009 shows that the procyclicality of LLPs is statistically significant almost in the whole sample of countries. Regardless of the econometric specification, the income-smoothing, capital management and risk management hypotheses are hardly supported by the data. However, in SURE specification, the relationship of bank-specific variables is of higher statistical significance than in the country regression approach. Hence, cross-country interconnectedness is not only economically, but also empirically important when analyzing cross-country diversifications of LLPs.     

Estimating Consumption Responses to Income Shocks of Different Persistence Using Self‐Reported Income Measures

Models of intertemporal consumption choice posit that consumption reacts more strongly to income shocks with persistent effects than to shocks with temporary effects. This prediction is tested using data from the Estonian Household Budget Surveys for 2002–07. Questions in the survey make it possible to distinguish between two income components of different persistence, using the individual households’ subjective income classification. Estimations confirm that households distinguish income components of different persistence and react to these differently; the consumption response to income shocks with persistent effects is significantly higher than the response to shocks with only temporary effects. Further analysis reveals, however, that consumption also reacts to lagged shocks to temporary income even when the households are not liquidity constrained, suggesting that their behavior is not fully consistent with the standard forward‐looking unconstrained consumption models.