上证A股指数的走势分析与预测——基于时间序列模型

本文旨在以时间序列模型为基础,选择上证A股指数为研究对象,对上证A股指数在2008年1月-2012年5月的53个月度数据eviews软件进行进行实证分析。在此,本文采用时间序列分析中的一种常见的模型:ARIMA模型进行相关的分析和预测,对变量的发展规律进行了研究,并对未来三个月的上证A股指数做短期预测。通过研究分析可知计算所得的相对误差范围均达到要求,则采用ARIMA模型做股票价格预测是可行的。     

基于时间序列模型的中国出口总额分析及预测

基于中国近20年来中国出口总额的月度数据,通过对数据特征进行的分析,采用了Holt-Winters滤波方法和ARIMA(0,1,1)模型对数据进行拟合,并对模型进行了相关检验,以此来考虑模型的可行性及拟合效果的优良性。最后对中国出口总额的月度数据进行了预测,结果显示Holt-Winters滤波方法和ARIMA(0,1,1)模型的预测平均相对误差率很小,说明时间序列模型在我国出口总额的预测中具有较好的实用价值。     

基于ARIMA模型的我国快递业务量状况研究

本文通过Eviews8.0软件采用时间序列分析方法,对我国快递业务量的月度数据进行分析,建立ARIMA模型并进行参数估计及检验,对比Holt-Winters季节乘法模型预测结果和实际值进行误差分析,选择ARIMA季节乘积模型,对未来我国的快递业务量进行预测。     

基于组合模型的我国税收收入预测分析

本文在ARIMA和GM(1,1)模型基础上,利用我国经济发展数据建立一个组合预测模型,并把它应用于我国税收收入的预测.所得结果误差优于两个模型的分别预测,表明组合预测模型在税收收入数据的预测中更有优势.最后据此组合预测模型对2009年中国税收收入进行了预测分析.     

ES和ARIMA旅游需求模型预测效果比较

指数平滑技术(ES)和综合自回归移动平均技术(ARIMA)是当前国际上利用单变量时间序列进行旅游需求预测的两种重要的预测技术。本文利用中国四大入境旅游客源国日本、英国、美国、澳大利亚到中国的年旅游人数数据,对二种预测方法的事后预测效果进行了比较。结果显示,对于日本和美国两个国家的入境旅游人数,指数平滑技术的预测效果优于综合自回归模型;而对于英国和澳大利亚两个国家,指数平滑技术的预测效果劣于综合自回归模型。     

基于ARIMA模型的我国国内生产总值的分析与预测

本文先介绍了ARIMA模型,而后重点在于ARIMA方法与传统法的比较,指出了ARIMA方法与传统方法的异同,关键的不同点主要有三个方面:建模的基本思想不同、前提不同以及适用范围不同,最后运用ARIMA模型对我国1978—2009年的GDP总额进行了分析与预测,得出ARIMA(2,2,2)模型可以对我国的GDP序列作短期预测。     

期货对现货价格预测的作用——基于ARIMA模型的实证探讨

本文通过建立ARIMA模型和ARIMAX模型,以我国HS300指数为研究对象。在准确识别的基础上,实证检验了我国hs300指数的日内指数现货价格序列。通过ARIMAX模型的输入变量包含了IF8888指数期货价格序列,将指数期货价格信息反映到现货价格的预测过程中,同时与ARIMA模型作比较。研究发现,带指数期货价格序列输入变量的ARIMAX模型与不存在其他输入变量的ARIMA模型在相同的参数条件下,前者的拟合误差下降,预测精度显著提高。说明期货价格信息可以更好地预测现货指数价格。同时为了说明预测的可信性,本文选取期货交易所的官方数据。在数据的平稳性检验部分用了ADF检验来进行平稳性的检验和对d值的确定,在对p值和q值的确定上,使用了枚举法来进行最佳组合的选取,这些都保证了预测的精确性和可信性。     

基于ARIMA模型的中国外贸进出口预测:2006-2010

ARIMA(Auto-regressive Moving Average)模型是一种常用的随机时序模型,主要用于预测,短期预测精度较高。本文利用ARIMA模型预测了2006-2010年中国外贸进出口总额、出口总额和进口总额。     

我国居民消费价格指数时间序列预测——基于ARIMA模型与平滑ARIMA模型的比较分析

对我国CPI的1951-2008年年度数据进行分析预测,用一种短时序数据的结构分析模型——平滑ARIMA模型对数据进行了分析预测。通过对两个模型预测效果的比较,结果表明,相比于ARIMA模型,平滑ARIMA模型预测的准确度大大提高。     

我国玉米价格波动趋势及短期预测

为更好地把握玉米市场价格未来走向,本文对我国2003年1月至2014年2月间的玉米市场价格的整体走势和特点进行了分析,并应用ARIMA(p,d,q)模型,对未来短期的玉米价格做出了预测。结果显示,我国玉米价格在短期内将呈小幅上升趋势。最后基于预测结果,本文分别从政府、企业两个主体的角度,提出相应的建议作为决策参考。     

The impact of parallel market exchange rate volatility and oil exports on real GDP in Syria: Evidence from the ARDL approach

This paper investigates the impact of parallel market exchange rate volatility and trade on real GDP and real GDP growth in the Syrian economy over the period of 1990Q1–2010Q4. To this end, we first construct a parallel market exchange rate volatility indicator. Second, we estimate an autoregressive distributed lag (ARDL) model where we include our indicator of volatility among the main determinants of real GDP. Our findings imply that real GDP can be explained by three main variables: parallel market exchange rate, money supply, and oil exports. The long-run equilibrium reveals that parallel market exchange rate volatility has a negative impact on real GDP compared to the positive impact of money supply and oil exports. In contrast, the short-run impact of parallel market exchange rate volatility on real GDP growth is positive and very small counter to the long-run impact. Furthermore, the coefficient of the error correction term of the estimated ARDL model indicates that real GDP deviation from the equilibrium level will be corrected by about 10% after each quarter.     

Does Real Exchange Rate Volatility Affect Foreign Direct Investment? Evidence from Four Developed Economies

This study examines the impact of shocks to exchange rate uncertainty (volatility) on foreign direct investment (FDI) in Canada, Japan, the United Kingdom, and the United States. The analysis is conducted using vector autoregressive models that contain the price level, real output, the real exchange rate, the volatility of the real exchange rate, the interest rate, and FDI. The results from variance decompositions yield public policy implications. In Canada, Japan, and the United States, innovations to exchange rate uncertainty explain significant portions of the forecast error variance in FDI at longer time horizons. The impulse response functions indicate that, to the extent that shocks to exchange rate volatility have an impact on FDI, the impact is positive and takes place with a lag.     

Exchange-Rate Volatility,Exchange-Rate Regime,and Trade in OIC Countries

The authors examine the impact of exchange rate volatility on trade in the Organization of the Islamic Conference (OIC) countries from 1995 to 2008 using panel estimations to distinguish differences between disaggregate trade, and examine its threshold effects. Results reveal that exchange rate volatility generally has significant negative effect on export and import with lag. However, exports of OIC with flexible exchange rate regime have significant positive exposure to exchange rate volatility. The authors also document a threshold effect for countries with trade value constitutes more than 30% of the real gross domestic product, and the exchange rate volatility becomes significant positive for export but significant negative for import with lag.     

Do fluctuations in crude oil prices have symmetric or asymmetric effects on the real exchange rate? Empirical evidence from Indonesia

Current research on the oil price impacts on exchange rates typically relies on the assumption that fluctuations in crude oil prices have symmetric impacts on a country's real exchange rate. Thus, the contribution of the paper is to use the non‐linear autoregressive distributed lag (ARDL) method of Shin, Yu, and Greenwood‐Nimmo (2014) and examine whether crude oil prices are asymmetrically passed on to the real exchange rate in the case of Indonesia. We uncover that oil price changes indeed asymmetrically affect the Indonesian rupiah in both the long and short run; i.e., the movement in the Indonesian rupiah appears to be more responsive to rising oil prices than to declining oil prices.     

人民币实际汇率与贸易条件的实证研究

基于均衡汇率理论,应用协整模型,采用真实变量分析了1980-2003年的人民币实际汇率及其与均衡汇率的失调情况,进而研究了不同时期人民币实际汇率与贸易条件的关系。结果表明:贸易条件与中长期以及短期的实际汇率存在显著的关系,贸易条件的恶化或改善是导致人民币实际汇率升值或贬值的重要原因之一。并且,在不同的发展时期,贸易条件对实际汇率的影响呈现出不同的特点。     

汇率波动对机电行业就业影响的分析

本文利用2001-2010年我国机电行业的203家上市公司的面板数据以及2000-2010年我国机电行业各子行业的季度数据,分别从微观层面和行业层面实证研究汇率变动对我国机电行业就业的影响。研究发现,人民币实际有效汇率波动对机电行业就业的负面影响的短期效应明显低于长期效应,且具有明显滞后性,表明更富弹性的汇率制度有利于缓解汇率波动对就业的影响。同时机电企业规模经济的发展、产品附加值的提升对就业有显著支撑作用,因此在人民币汇率日益走高的背景下,机电行业更应加速行业资源整合和产业升级。     

我国外贸竞争力、外国直接投资与实际汇率关系的实证研究

本文基于2005年7月至2008年6月我国外贸竞争力、实际利用外国直接投资与实际汇率的月度数据实证研究了人民币汇率形成机制改革以来我国外贸竞争力、外国直接投资与实际汇率之间的关系,发现三者之间存在一个协整关系,然而只有外贸竞争力是实际汇率的格兰杰原因,实际汇率是实际利用外国直接投资流量水平的格兰杰原因。但是,我国的引资政策和汇率形成机制未能有效提高外贸竞争力,而我国外贸竞争力并不影响实际利用外资的水平,实际利用外资水平也不影响实际汇率的变动。最后根据实证研究结果提出政策建议。     

Causes of nonlinearities in low-order models of the real exchange rate

This paper investigates the extent to which modern DSGE models, which feature local currency pricing, home bias, nontraded goods, and incomplete markets, can generate nonlinear real exchange rate dynamics that are consistent with those found in the time series literature using data from the current floating period. Our key findings are as follows. First, if the true model can be appropriately characterized as a set of linear equations, then linearity tests that utilize univariate autoregressions of the real exchange rate suffer from an omitted variables problem, which leads them to overestimate the true incidence of nonlinearity. Consequently, studies that fail to control for this problem may spuriously find evidence of nonlinearities in the data, despite the fact that the data generating process may be linear. Second, we propose a strategy that can largely eliminate this distortion. Finally, we find that DSGE models solved using higher order approximations are capable of generating true structural nonlinearities in real exchange rates both asymptotically and in short samples.     

人民币汇率波动的福利效应——基于我国制造业面板数据的实证分析

本文运用1996-2007年我国制造业27个细分行业的贸易和产业数据,根据人民币实际有效汇率(总体汇率)的计算方法构造了制造业分行业的进、出口汇率指标,分别考察了总体汇率、出口汇率、进口汇率对制造业分行业、分部门(劳动密集型、资本密集型和技术密集型三个部门)工人福利的影响及其传导途径。实证研究结果表明:在分行业分析中,三种汇率升值均降低了制造业工人的福利水平;在分部门分析中,由于区分了各部门贸易程度和产业性质存在的差异,汇率升值主要通过出口途径降低了劳动密集型部门工人的福利,主要通过投入品进口途径和制成品进口途径分别提高了资本密集型部门和技术密集型部门工人的福利。最后,本文就长短期内如何调整人民币汇率以促进制造业工人福利改善提出了一些政策建议。     

The impact of world oil price shocks on the Canada/U.S. real exchange rate

This article investigates whether and how changes in the world oil price affect the Canada/U.S. real exchange rate. We applied vector autoregression and vector error correction models for the real exchange rate, world oil price, monetary differential, government spending, and productivity differential between the two countries. Our results demonstrate that a surge in the world oil price will lead to an appreciation of the Canadian dollar in the short and long term. Product differentials and U.S. government spending have a negative impact on the Canada/U.S. real exchange rate, and Canadian government spending leads to a depreciation of the Canadian dollar.