Earnings forecast disclosure regulation and earnings management: evidence from Taiwan IPO firms

This study examines whether the Taiwanese regulation requiring disclosure of earnings forecasts in the IPOs resulted in disclosure of more optimistic earnings forecasts and whether the forecast error was reduced more by manipulating the reported earnings rather than revising the earnings forecasts to meet the forecast error threshold. The study is based on 759 forecasts issued by the Taiwanese IPO firms from 1994 to 2001, i.e. 8-year period after the regulation was modified to increase the forecast error threshold to 20%. The findings show that the disclosure regulation resulted in more optimistic forecasts than conservative forecasts, especially for firms expecting better performance in the forecast year compared to the previous year. Firms disclosing optimistic earnings forecasts engaged more in manipulation of reported earnings than revision of forecasts to meet the forecast error threshold. These findings thus suggest that the disclosure regulation resulted in earnings manipulation, which reduced the quality of reported earnings. We received valuable comments at the 2003 American Accounting Association and 2004 Euorpean Accounting Association annual meetings. We also thank the participants at the research seminars at Rutgers University, City University of Hong Kong, and Pace University, for their insightful comments. Picheng Lee especially thanks Pace University for 2003 summer research grant.     

股市周期的模拟预报

不同于传统股市周期理论，本使用傅里叶谱分析技术来模拟预报股市周期。在说明股市周期运行特征的辨识和季节调整的方法之后，使用四年的数据建立了股市模型。在详细介绍了傅里叶周期分析法之后，检验了其对所建模型预报结果的准确性。     

Stability of the demand for M1 and harmonized M3 in Finland

We derive a theoretical model for the demand for money using the adjustment cost augmented money-in-the-utility-function approach. The steady-state-utility function-parameters of the model of narrow money (M1) estimated with cointegration techniques are stable over the foreign exchange rate regime shift; whereas in the model of harmonized M3 (M3H) they arenot stable. The theoretical model fits the M1 data. The adjustment cost parameters of the M1 model describing the dynamics of the demand for money might indicate technological improvements in banking and payments during the sample period. These results suggest that from the Finnish point of view M1 would be a more appropriate intermediate target for monetary policy than harmonized M3.The views expressed are those of the author and not necessarily the views of the Bank of Finland. I thank Juha Tarkka, Jouko Vilmunen, Pekka Ilmakunnas, Erkki Koskela, Paolo Paruolo, Anders Rahbek, Pentti Saikkonen, Juha Seppälä, Matti Virén and the participants of ESEM96 meeting and Money Demand in Europe conference (October 1997, Berlin) for useful comments and discussions and two anonymous referees and the editors for profound and constructive comments. The usual disclaimer applies. The data may be obtained from the internet, http://wotan.wiwi.hu-berlin.de/oekonometrie/engl/data.html     

The ASC 606 standard,revenue informativeness,and analysts forecast quality

We examine the adoption effect of ASC 606 on revenue informativeness, analyst forecast dispersion, and forecast errors. We find that the adoption of ASC 606 is associated with increases in revenue informativeness but decreases in analyst forecast accuracy and consensus. Such adoption effects are mainly temporary and focused in firms that are more affected by the new standard. Last, we find that firms using the full retrospective adoption method are associated with higher revenue informativeness and lower analyst forecast error than firms using the modified retrospective method.     

灰色预测模型在公路货运量预测中的应用

论述了灰色预测模型在公路货运量预测中的应用技术、方法与程序。该方法利用了累加生成手段和微分方程描述的灰色模型,与目前常规货运量预测理论和模型相比,可有效地处理小样本、贫信息的不确定系统,并在一定预测时段内具有良好的预测精度和实用性。     

Step Interventions and Market Integration: Tests in the U.S., U.K., and Australian Property Markets

Market integration implies the existence of some long-run equilibrium relationship between markets such that movements in one market are transmitted to movements in another. It is an interesting observation of much of the literature regarding a possible relationship between real estate and stock markets that there is relatively scant attention given to the possible existence of structural breaks and the impact that such breaks may have on tests for market integration. Other research has shown that failure to take into account structural breaks in various macroeconomic data series may have yielded misleading results on cointegration (in particular, unit root tests on individual series). In this article we examine the issue of whether the stock market and real estate markets are stationary or nonstationary in the presence of structural breaks. We adopt the techniques of Perron (1989), Zivot and Andrews (1992), and Perron and Vogelsang (1992). Each of these tests is based on different assumptions and therefore may yield differing results. In general, the results do not support cointegration of domestic property and equity markets or cointegration of markets internationally.     

Does competitive entry structurally change key marketing metrics?

To what extent does competitive entry create a structural change in key marketing metrics? New players may just be a temporal nuisance to incumbents, but could also fundamentally change the latter's performance evolution, or induce them to permanently alter their spending levels and/or pricing decisions. Similarly, the addition of a new marketing channel could permanently shift shopping preferences, or could just create a short-lived migration from existing channels. The steady-state impact of a given entry or channel addition on various marketing metrics is intrinsically an empirical issue for which we need an appropriate testing procedure.In this study, we introduce a testing sequence that allows for the endogenous determination of potential change (break) locations, thereby accounting for lead and/or lagged effects of the introduction of interest. By not restricting the number of potential breaks to one (as is commonly done in the marketing literature), we quantify the impact of the new entrant(s) while controlling for other events that may have taken place in the market. We illustrate the methodology in the context of the Dutch television advertising market, which was characterized by the entry of several late movers. We find that the steady-state growth of private incumbents' revenues was slowed by the quasi-simultaneous entry of three new players. Contrary to industry observers' expectations, such a slowdown was not experienced in the related markets of print and radio advertising.     

A two-step approach for identifying seasonal autoregressive time series forecasting models

One of the most powerful and widely used methodologies for forecasting economic time series is the class of models known as seasonal autoregressive processes. In this article we present a new approach not only for identifying seasonal autoregressive models, but also the degree of differencing required to induce stationarity in the data. The identification method is iterative and consists in systematically fitting increasing order models to the data, and then verifying that the resulting residuals behave like white noise using a two stage autoregressive order determination criterion. Once the order of the process is determined the identified structure is tested to see if it can be simplified. The identification performance of this procedure is contrasted with other order selection procedures for models with ‘gaps.' We also illustrate the forecast performance of the identification method using monthly and quarterly economic data.     

审计质量对分析师预测的影响研究

分析师预测是市场进行投融资决策的重要依据,因此分析师职业受到更多关注。以2011-2018年上市公司的数据为样本,研究了审计质量与分析师预测两者之间的联系。研究结果发现,审计质量对上市公司分析师预测有显著影响。进一步研究发现,在董事会规模较大的公司中,审计质量与分析师预测关系更显著。     

Breaks and outliers when modelling the volatility of the U.S. stock market

This study analyses volatility persistence of the U.S. stock market, after taking into account the role of breaks and outliers. By employing a wavelet-based algorithm, it identifies several outliers which are comfortably associated with major events such as the ‘Black Monday’ and the Asian crisis. There is also evidence of clustering of breaks and a substantial variation in the properties of the identified segments.