基于多尺度阈值方法的金融时间序列去噪研究

本文通过实证分析,说明金融时间序列建模前降噪预处理的必要性,更进一步地,运用多尺度阈值方法对金融时间序列去噪,再用传统时间序列预测方法ARIMA(p,d,q)模型对降噪后的数据进行预测。通过与小波阈值去噪预测模型的比较,得出多尺度阈值去噪预测效果更加理想。     

基于灰色-马尔可夫改进的预测模型——以沪深300指数为例

建立灰色GM(1,1)与马尔可夫链的组合预测模型,用灰色预测模型预测随机时间序列数据的总体发展趋势,而用马尔可夫链模型修正数据随机波动所带来的预测误差。以沪深300指数的真实数据进行验证,结果表明:灰色马尔可夫预测模型既能预测随机数据序列的总体趋势,又适应股票价格随机波动性较大的特点,灰色马尔可夫预测模型预测精度高于GM(1,1)模型的预测精度。     

基于灰色-马尔可夫改进的预测模型——以沪深300指数为例

建立灰色GM(1,1)与马尔可夫链的组合预测模型,用灰色预测模型预测随机时间序列数据的总体发展趋势,而用马尔可夫链模型修正数据随机波动所带来的预测误差。以沪深300指数的真实数据进行验证,结果表明:灰色马尔可夫预测模型既能预测随机数据序列的总体趋势,又适应股票价格随机波动性较大的特点,灰色马尔可夫预测模型预测精度高于GM(1,1)模型的预测精度。     

基于ARIMA模型的我国人民币汇率的时间序列分析

大多数经济时间序列呈现非平稳性,因而不能直接用ARIMA模型进行分析。但是通过对原始序列进行差分,将其转换为平稳时间序列,再用ARIMA模型进行建模。本文通过对2000-2010年我国人民币汇率时间序列的分析,预测2010年6-12月数据,并证实了ARIMA模型是一种很好的短期预测模型。     

企业价值评估中的定量预测模型实证分析

在采用收益途径对企业价值评估中，对企业未来发展有关情况进行分析和运用数量模型对其相关参数进行预测不仅是其重要的工作之一，也是该评估方法的技术关键。在该评估方法中，收益额是重要的预测参数之一，对其预测时，需要在定性分析的基础上，采用合适的数量模型分别对其中的收入、成本、费用等内容进行具体测算。常见的计量模型主要有：时间序列模型、单方程回归模型，灰色预测模型，神经网络模型以及组合预测模型等，本文选择其中的时间序列模型（固定时间序列和随机时间序列）、灰色预测模型和神经网络模型分别对某航运公司1994-2008年的收入进行具体预测和检验，并将其各自的预测结果进行分析和比较。     

组合预测模型在货运量预测中的应用

本文对灰色预测模型和ARIMA预测模型进行组合,建立了组合模型,并应用于货运量的预测,实证预测表明,组合模型的预测精度优于单一的预测模型,预测结果与实际货运量拟合较好。     

上海锌期货价格的组合预测分析

本文利用锌期货价格的历史信息和上海锌的现货价、伦敦锌期货价格等分析预测上海锌期货价格。针对单一模型存在预测误差大的问题,本文结合时间序列ARIMA模型、回归模型及组合模型来分析预测锌收盘价,结果发现组合预测模型的精度高于单一模型的分析,即用组合预测模型来预测锌期货价格是一种相对可取的方法,可以为投资者和期货经纪公司提供一定的参考价值。     

基于计量模型的2009年我国货币供应量预测

金融系统中货币供应量的大小是影响经济金融体系能否正常运行的重要因素，正确预测货币供应量走势对我国经济金融政策的决策和经济发展战略的实施都有着十分重要的意义。本文介绍了符合金融系统预测规律的ARIMA（p，d，q）时间序列模型，并根据我国货币供应量实际数据对2008--2009年货币供应量走势进行了预测检验，实证预测结果显示与2008年实际M2相对照，模型预测精度较高，误差被控制在2％以内，说明ARIMA模型能较准确地预测我国货币供应量走势，可为我国货币供应量的预测和走势提供可靠的参考依据。     

基于计量模型的2009年我国货币供应量预测

货币供应量是影响经济金融体系能否正常运行的重要因素,正确预测货币供应量走势对我国经济金融政策的决策和经济发展战略的实施都有着十分重要的意义.本文介绍了符合金融系统预测规律的ARIMA(p,d.q)时间序列模型,并根据我国货币供应量实际数据对2008-2009年货币供应量走势进行了预测检验,实证预测结果显示与2008年实际M2相对照,模型预测精度较高,误差被控制在2%以内,说明ARIMA模型能较准确地预测我国货币供应量走势,可为我国货币供应量的预测和走势提供可靠的参考依据.     

基于灰色支持向量机模型的基金波动率预测

探讨灰色系统与最小二乘支持向量机组合预测模型在波动率上的应用的可行性,通过对灰色模型进行残差修正和背景值修正以及对最小二乘支持向量机进行参数寻优,来提高组合预测模型的预测精度和推广泛化能力。经波动率预测的实证分析得出建立的组合模型比支持向量机模型有较好的预测效果。     

Cost accounting standard and cost accounting systems in Japan. Lessons from the past - recovering lost traditions

This paper aims to show two things. The first is how Japanese culture has contributed to the development of Japanese cost accounting history. The second is to reveal the research possibilities of cost accounting history. This paper also reviews the salient features of several important examples of these aspects of cost accounting practice in Japan. It therefore explores, through some practical illustrations, how and why Japanese cost accounting differs from that found in the West.     

Guidelines for Manuscripts Submitted to The China Journal of Accounting Research

【正】The China Journal of Accounting Research‘‘CJAR’’(ISSN 1755-3091)publishes quarterly.It contains peer-reviewed articles and commentaries on accounting,auditin...     

Shared Standard Setting in the Public Interest:A Strong Model

正The last two decades have been a definitive era in the evolution of the accountancy profession.In the wake of major corporate scandals at the turn of the century,an international public debate arose on the need for more effective and well-considered regulation;this debate then reignited during the global financial and sovereign debt crises.     

HOW TO PUT TOGETHER A COMPLETE PACKAGE

正Many Institute members know they cannot rely purely on technical knowledge and business acumen to remain competitive.As soft skills are increasingly important,Jemelyn Yadao finds out how CPAs can maintain     

Bayesian Risk Management for Equity-Linked Insurance

This paper describes how to apply Markov Chain Monte Carlo (MCMC) techniques to a regime switching model of the stock price process to generate a sample from the joint posterior distribution of the parameters of the model. The MCMC output can be used to generate a sample from the predictive distribution of losses from equity linked contracts, assuming first an actuarial approach to risk management and secondly a financial economics approach. The predictive distribution is used to show the effect of parameter uncertainty on risk management calculations. We also explore model uncertainty by assuming a GARCH model in place of the regime switching model. The results indicate that the financial economics approach to risk management is substantially more robust to parameter uncertainty and model uncertainty than the actuarial approach.     

The historical significance of the revaluation of fixed assets in Japan's state-owned railway system, 1955-6

The Government Railways of Japan (GRJ) established a fixed assets accounting system on the accruals basis after the Second World War. The revaluation of tangible fixed assets was indispensable for GRJ's introduction of depreciation in 1948. GRJ scheduled the revaluation to secure a reasonable depreciation expense, because the company had applied the replacement method to all tangible fixed assets since its foundation in 1869. At the same time, GRJ assumed the balance of the revaluation reserve account to be a means of dealing with possible future accumulated losses.     

Effects of speculation and interest rates in a “carry trade” model of commodity prices

The paper presents and estimates a model of the prices of oil and other storable commodities, a model that can be characterized as reflecting the carry trade. It focuses on speculative factors, here defined as the trade-off between interest rates on the one hand and market participants' expectations of future price changes on the other hand. It goes beyond past research by bringing to bear new data sources: survey data to measure expectations of future changes in commodity prices and options data to measure perceptions of risk. Some evidence is found of a negative effect of interest rates on the demand for inventories and thereby on commodity prices and positive effects of expected future price gains on inventory demand and thereby on today's commodity prices.     

Optimal Dynamic Premium Control in Non-life Insurance. Maximizing Dividend Pay-outs

In this paper we consider the problem of finding optimal dynamic premium policies in non-life insurance. The reserve of a company is modeled using the classical Cramér-Lundberg model with premium rates calculated via the expected value principle. The company controls dynamically the relative safety loading with the possibility of gaining or loosing customers. It distributes dividends according to a 'barrier strategy' and the objective of the company is to find an optimal premium policy and dividend barrier maximizing the expected total, discounted pay-out of dividends. In the case of exponential claim size distributions optimal controls are found on closed form, while for general claim size distributions a numerical scheme for approximations of the optimal control is derived. Based on the idea of De Vylder going back to the 1970s, the paper also investigates the possibilities of approximating the optimal control in the general case by using the closed form solution of an approximating problem with exponential claim size distributions.     

'More a national asset than an investor's paradise': financial management and the British Motor Corporation, 1952-68

This paper undertakes a comparative analysis of financial management in the British motor industry in the 1950s and 1960s. We question whether US ownership automatically implied greater financial control and immunity from capital market pressures and discuss whether the problems BMC/BMH (British Motor Corporation/British Motor Holdings) experienced were symptomatic of the absence of financial imperatives among British management at this time. Finally we widen the agenda to place our findings on financial management into a wider literature dealing more generally with the problems of managerial control and corporate governance within the motor vehicle industry in the 1950s and 1960s.     

Religion and stock price crash risk:Evidence from China

This paper investigates whether religious traditions influence firm-specific crash risk in China.Using a sample of A-share listed firms from 2003 to 2013,we pro...