利用上市公司公开的财务信息预测未来的销售

销售收入与赢利直接相关 ,而且相对于赢余数据的披露更加客观。所以销售预测不仅可以对公司的盈利预测提供很好的补充 ,本身也是预测公司未来业绩的一个重要指标。本文采用横截面上的线性回归模型和贝叶斯动态线性模型等统计方法 ,对A股市场上市公司年度财务报告进行分析 ,发现财务报告中所披露的公司财务及经营的数据中包含有关于其未来销售变动的信息。进一步比较各种方法的预测效果 ,发现贝叶斯动态线性预测模型的预测效果更好 ,值得推荐。     

Inflation forecasting using the New Keynesian Phillips Curve with a time-varying trend

Does theory aid inflation forecasting? To address this question, we develop a novel forecasting procedure based upon a New Keynesian Phillips Curve that incorporates time-varying trend inflation, to capture shifts in central bank preferences and monetary policy frameworks. We generate theory-implied predictions for both the trend and cyclical components of inflation, and recombine them to obtain an overall inflation forecast. Using quarterly data for the Euro Area and the United States that cover almost half a century, we compare our inflation forecasting procedure against the most popular time series models. We find that our theory-based forecasts outperform these benchmarks that previous studies found difficult to beat. Our results are shown to be robust to structural breaks, geographic areas, and variants of the econometric specification. Our findings suggest that the scepticism concerning the use of theory in forecasting is unwarranted, and theory should continue to play an important role in policymaking.     

Forecasting and Futurology

The Institute of Applied Economic and Social Research has published forecasts of the Australian economy since the late 1960s. These forecasts (usually 12 to 18 months ahead) have been dominated by short-term macroeconomic factors. Compared with when the IAESR commenced its forecasting, there are now many forecasters who concentrate on the performance of the Australian economy over the short term. There is, however, a dearth of regular commentary which focuses on policy options for the medium to long term. This article is the first of many which will aim to fill this perceived gap. In so doing we shall adopt a wider concept of forecasting called futurology. In this approach, many constraints of traditional forecasting are relaxed. In particular, we allow responses by economic agents to policy changes. This will suggest plausible situations in which different outcomes are possible. Our purpose is not to suggest what the future will be, but what it might be under different scenarios. Here, we put together some necessary ingredients to facilitate futurology. We review recent Australian economic performance, consider the implications of meeting a goal of five per cent unemployment by the year 2000 and outline some important influences on likely future growth. We suggest that new growth theory may provide a policy framework to achieve both high growth and low unemployment, noting the constraints imposed by increasing globalisation. In subsequent articles, we shall employ these ingredients to write out plausible timepaths setting out how desirable end-points (including the reduction of unemployment) may be achieved.     

Time-series model forecasts and structural breaks: evidence from Spanish pre-EMU interest rates

Analysis of the future behaviour of economic variables can be biased if structural breaks are not considered. When these structural breaks are present, the in-sample fit of a model gives us a poor guide to ex ante forecast performance. This problem is true for both univariate and multivariate analysis and can be extremely important when co-integration relationships are analysed. The main goal of this article is to analyse the impact of structural breaks on forecast accuracy evaluation. We focus on forecasting several interest rates from the Spanish interbank money market. In order to carry out the analysis, we perform two forecasting exercises: (a) without structural breaks and (b) when structural breaks are explicitly considered. We use new sequential methods in order to estimate change-points in an endogenous way. This method allows us to detect structural breaks in all four rates in May 1993. However, the effects of these breaks are not very strong, since we found scarce gains in forecasting accuracy when the structural breaks are included in the models.     

An enhanced approach for Trend Impact Analysis

Decision makers in governments, corporations and institutions all need to forecast the future. Usually, traditional quantitative forecasting techniques are applied for this purpose. But the limitation of such methods is well known since all quantitative methods that are built solely on historical data (whether time-series or causal methods) produce forecasts by extrapolating such data into the future ignoring the effects of unprecedented future events that could cause deviation from the original surprise-free forecast if they were to occur. In the meanwhile, pure qualitative methods that don't utilize historical data miss its sound foundation. In the field of future studies, attempts are often made to combine quantitative and qualitative approaches using various hybrid methods such as Trend Impact Analysis. This paper introduces an advanced algorithm to enhance Trend Impact Analysis that adds another level of sophistication to the current algorithm. This advanced algorithm takes into account not only the impact of unprecedented future events' occurrences on the future trend, but also the different severity degrees with which the event might occur. This idea of severity degrees is novel, and its implementation is the main contribution of this paper.     

资源价格及其走势与影响的分析

未来资源价格的大幅上涨态势,对资源产品价格和发展中国家贸易条件、经济安全、经济增长方式转变,价格总水平稳定构成多方面重大影响.应对资源价格上涨成为发展的关键.资源价格是虚拟价格,有多种价格形式和定价方法,因此应对资源价格上涨虽然可以采取多种措施,但最重要的还是价格措施.     

加入WTO对中国工业的综合性影响分析

本文根据我国加入WTO的有关法律文件 ,分析了扩大开放的各个方面对工业的影响及其相互作用 ,在此基础上对整个工业受到的综合性影响做出基本判断。由此得出的结论是 :在过渡期间 ,市场开放的各种影响尚未完全形成 ,对整个工业的综合性影响还不大 ;而过渡期完成之后 ,全方位开放带来的各种影响将全面显现并相互作用 ,产生综合性、全局性和深层次的影响 ,从而对整个工业发展的冲击会比较突出地表现出来。如果没有其他因素的变化和影响 ,这个较大的冲击将发生在 2 0 0 5— 2 0 1 0年期间。     

Price competition and market transparency: evidence from a random response technique

Surveys can increase market transparency when information asymmetries are present—but this will only happen when respondents answer questions truthfully. Sometimes, however, it might not be in the respondents’ best interest to provide truthful information on their firm or market. This will be especially true when other firms can exploit any information they provide. Understanding when, and under what conditions, respondents answer questions truthfully is important to researchers studying these markets and to policymakers using firm surveys to identify ways of improving the business environment. Using data from two countries in South Asia, this paper uses a random response technique to identify respondents that do not answer truthfully. We label these respondents as ‘reticent’. We show that respondents become more reticent when their firms face intense price competition. We argue that this is because intense competition gives respondents a greater incentive to misreport information to reduce market transparency.     

The Timing Ability of Newly Listed NYSE Firms, 1926-1962

We demonstrate that, from 1926 to 1962, the number of new listings on the New York Stock Exchange has predictive ability for future aggregate market returns. The forecasting power of new listings is evident even after controlling for previously documented market predictors, such as the dividend yield. While firms do not appear to time their own performance, tests investigating aggregate market movements around new listing dates are consistent with forecasting ability of the new listing variable. In particular, we use non-parametric regression methods to determine the functional relationship between one-year post-market returns and new listings. We find a decreasing trend in the expected one-year post-market return as a function of the number of new listings each quarter. Subsequent tests show that mean reversion in market returns does not drive the predictive evidence found here.     

Box-Jenkins Methoden — Alternative Verfahren zur Prognose ökonomischer Zeitreihen

Summary In this paper we try to clarify whether the use ofBox-Jenkins methods would have improved the forecasting performance in Austria during the recession of 1975. For this purpose we estimate ARIMA models for gross national product, private consumption, investment in plant and equipment, and inventory investment. We then compare the forecasts derived from these models with the results of more convential forecasting techniques. It can not be expected that Box-Jenkins methods predict a business cycle turning point. But, as soon as the recession was under way Box-Jenkins methods were faster in adapting to the new situation than conventional forecasting techniques. We found that the accuracy of Box-Jenkins predictions depends to a large extent on the length of the forecasting horizon. Our results suggest that the forecasting horizon should not exceed one year. All in all, Box-Jenkins methods applied together with the forecasting techniques already in use could further improve the forecasting performance.     

The Impact of Exchange Rate Uncertainty on the Level of Investment

Conventional wisdom has it that increasing price or exchange rate uncertainty will depress investment. Using the Dixit–Pindyck model, we find that there are situations where this will happen; and situations where it does not. There are threshold effects which allows us to identify when rising volatility would increase or decrease investment; and also to identify which types of industries would gain, and which would suffer, from a move to fixed exchange rates. This is important for monetary union in Europe since it is likely that, even if trade is insensitive to exchange rate volatility, investment with its longer horizon will be affected.     

基于优化组合模型的航空货邮市场需求预测 ——来自2007—2017年全球及中国面板数据的实证分析

航空货邮周转量是评价航空物流业发展的一个重要指标,传统预测方法在复杂系统的表现较差。在趋势外推法、多项式回归和灰色预测的基础上,引进诱导有序加权平均(IOWA)算子组合预测模型。结果表明,该方法对航空货邮周转量的预测效果比其他方法更好,以2018年全球数据进行检验,预测误差仅有4.72%。通过预测结果进一步对比分析全球及中国航空货邮市场的发展情况及未来趋势,为中国航空物流业的转型升级以及经济结构的优化发展提供参考与启示。     

Attachment orientations and entrepreneurship

This research presents a theoretical model and examines it empirically to associate attachment orientations with various types of entrepreneurs. The results show clear evidence that attachment orientations not only predict an adult’s tendency to become an entrepreneur but also the type of entrepreneur he will become. Specifically, the results show that attachment anxiety is the dimension that is the most responsible for the variability of becoming an entrepreneur, while anxiety and avoidant dimensions predict his characteristics and attitudes as an entrepreneur. This paper makes five important contributions to the research of both attachment theory and entrepreneurship. First, it adds to the theoretical understanding of the psychology of entrepreneurs. Second, the attachment theory enables us to extend our understanding beyond the predictions of personality traits regarding entrepreneurial intentions in order to further predict the type of entrepreneur he will turn out to be. Third, it stresses the role of early childhood events regarding the prediction of future entrepreneurial orientation. Fourth, it uses a unique data set of real young entrepreneurs in a single industry homogenous design in Israel, which is known worldwide as a startup nation. Fifth, it focuses on the opportunity validation stage (rather than the opportunity identification of the resource allocation stages), which is often neglected in entrepreneur personality research.     

TIQ (Technical IQ)--a survival skill for the new millennium

Managing in the new technocracy of the new millennium will be challenging but also much more exciting than the work we do now. Twenty years ago, nurse managers weren't held accountable for the level of knowledge about financial outcomes that is expected now. The same will be true for technology. With electronic medical records, innovations in medical treatments, and the impact of the information and technologic revolution on the entire world, the interface between technology assessment, operationalizing technology, and continually upgrading staff to know what the implications of the technology revolution are will be imperative for success. That means that we must influence schools of nursing to include technology in their content now, and to help us prepare this generation of health care leaders to take a full seat at the leadership table to manage these complexities in the future. The success of the leader of the future will be measured by that person's ability to integrate the very complex issues of patient care and technology in a way that makes sense for patients, the organization, and the staff who will be working in a very complex environment. The leader's TIQ will be as important as other intelligences in the next 20 years.     

Forecasting business and consumer surveys indicators–a time-series models competition

The objective of this article is to compare different time-series methods for the short-run forecasting of Business and Consumer Survey Indicators. We consider all available data taken from the Business and Consumer Survey Indicators for the Euro area between 1985 and 2002. The main results of the forecast competition are offered not only for raw data but we also consider the effects of seasonality and removing outliers on forecast accuracy. In most cases, the univariate autoregressions were not outperformed by the other methods. As for the effect of seasonal adjustment methods and the use of data from which outliers have been removed, we obtain that the use of raw data has little effect on forecast accuracy. The forecasting performance of qualitative indicators is important since enlarging the observed time series of these indicators with forecast intervals may help in interpreting and assessing the implications of the current situation and can be used as an input in quantitative forecast models.     

Eliciting experts' knowledge: A comparison of two methods

This paper reports on a detailed comparison of the practical application of two well-known forecasting methods—a surprisingly rare exercise. Delphi and cross-impact analyses are among the best-known methods that apply quantitative approaches to derive forecasts from expert opinion. Despite their prominence, there is a marked shortage of clear guidance as to when and where–and how–particular methods can be useful, or as to what their costs and benefits are. This study applied the two methods to the same area, future European transport systems, using the same expert knowledge base. The results of the implementation of the two techniques were assessed and evaluated, in part through two evaluation questionnaires completed by the experts who participated in the study. This paper describes these encounters with methodology and evaluation, presents illustrative results of the forecasting study, and draws lessons as to good practice in use of these specific methods, as well as concerning methodological good practice in general—for example, stressing the need for systematic documentation, and the scope for debate about established practices.     

A review of selected recent advances in technological forecasting

During the past decade, there have been some significant developments in technological forecasting methodology. This paper describes developments in environmental scanning, models, scenarios, Delphi, extrapolation, probabilistic forecasts, technology measurement and some chaos-like behavior in technological data. Some of these developments are refinements of earlier methodology, such as using computerized data mining (DM) for environmental scanning, which extends the power of earlier methods. Other methodology developments, such as the use of cellular automata and object-oriented simulation, represent new approaches to basic forecasting methods. Probabilistic forecasts were developed only within the past decade, but now appear ready for practical use. Other developments include the wide use of some methods, such as the massive national Delphi studies carried out in Japan, Korea, Germany and India. Other new developments include empirical tests of various trend extrapolation methods, to assist the forecaster in selecting the appropriate trend model for a specific case. Each of these developments is discussed in detail.     

The dynamics of international trade integration: 1967–2004

This article explores how trade integration has advanced over the last four decades and what the foreseeable future holds, among other related questions. To this end, we consider certain methods which have scarcely been used in the literature on trade integration. First, we measure trade integration through a set of indicators which control not only for how open economies are, but also for their degrees of connectedness in the World Trade Web. Second, we assess how these indicators have evolved over time, what the likely steady state distribution might be, and whether results could differ depending on a variety of weighting schemes (GDP, population). The results show that, under current trends, future world trade will be much more trade-integrated, especially for the most heavily populated countries. However, there is still a long way to go before reaching the hypothetical scenario of geographically neutral trade.