Sports Forecasting

A great amount of effort is spent in forecasting the outcome of sporting events, but few papers have focused exclusively on the characteristics of sports forecasts. Rather, many papers have been written about the efficiency of sports betting markets. As it turns out, it is possible to derive considerable information about the forecasts and the forecasting process from the studies that tested the markets for economic efficiency. Moreover, the huge number of observations provided by betting markets makes it possible to obtain robust tests of various forecasting hypotheses. This paper is concerned with a number of forecasting topics in horse racing and several team sports. The first topic involves the type of forecast that is made: picking a winner or predicting whether a particular team beats the point spread. Different evaluation procedures will be examined and alternative forecasting methods (models, experts, and the market) will be compared. The paper also examines the evidence about the existence of biases in the forecasts and concludes with the applicability of these results to forecasting in general.Sports forecasting, gambling markets, prediction markets

What Do We Know About G-7 Macro Forecasts?

Fildes and Stekler’s (2002) survey of the state of knowledge about the quality of economic forecasts focused primarily on US and UK data. This paper will draw on some of their findings but it will not examine any additional US forecasts. The purpose is to determine whether their results are robust by examining the predictions of other countries. The focus will be on (1) directional errors, (2) the magnitude of the errors made in estimating growth and inflation, (3) whether there were biases and systematic errors, (4) the sources of the errors and (5) whether there has been an improvement in forecasting ability.G7 forecasts, evaluation techniques

Evaluating Consensus Forecasts

The Census Bureau makes periodic long-term forecasts of both the total US population and the population of each of the states. Previous evaluations of these forecasts were based on the magnitude of the discrepancies between the projected and actual population figures. However, it might be inappropriate to evaluate these long-term projections with the specific quantitative statistics that have been useful in judging short-term forecasts. One of the purposes of a long range projection of each state¡¯s population is to provide a picture of the distribution of the aggregate US population among the various states. Thus the evaluation should compare the projected distribution of the total US population by states to the actual distribution. This paper uses the dissimilarity index to evaluate the accuracy of the Census projected percentage distributions of population by states.

U.S. international transactions in 1997

The U.S. current account deficit widened further in 1997, reaching $166 billion. U.S. imports of goods continued to exceed exports by a substantial margin. However, goods trade accounted for only a small part of the deterioration in the current account balance last year. The shift of investment income from positive to negative (the first time since 1914) was the major contributing factor; it reflected the cumulative effect of deficits in the current account that have persisted since 1982 and the balancing net capital inflows. The financial crises in Asia in the second half of 1997 visibly affected U.S. capital flows but influenced the U.S. current account in only a limited way in that year. Their effect on the U.S. current account is likely to be more apparent in 1998.International trade ; Exports ; Imports

Predicting the Outcomes of NCAA Basketball Championship Games

This paper uses the difference in seeding ranks to predict the outcome of March Madness games. It updates the Boulier-Stekler method by predicting the outcomes by rounds. We also use the consensus rankings obtained from individuals, systems and poll. We conclude that the consensus rankings were slightly better predictors in the early rounds but had the same limitations as the seedings in the later rounds.Sports forecasts, March Madness, Ranking methods, Expert forecasts, Consensus forecasts

The Forecasting Performance of Business Economists During the Great Recession

It is generally believed that the recession of 2007-2009 was not foreseen by business economists. Is this perceived view accurate? We explore this issue by examining business economists’ published statements about economic conditions. We compare these qualitative forecasts with the Beige Book. We conclude that both sets of data are similar and that business economists are responsive to information about the economy and adjust their predictions quickly.Business forecasts; Great Recession; Beige Book; Payroll Data

Examining the Quality of Early GDP Component Estimates

In this paper we examine the quality of the initial estimates of headline GDP and 10 major components of both real and nominal U.S. GDP. We ask a number of questions about various characteristics of the differences between the initial estimates available one month after the end of the quarter to the estimates available three months after the end of the quarter. Do the first estimates have the same directional signs as the later numbers? Are the original numbers unbiased estimates of the later figures? Are any observed biases related to the state of the economy? Finally, we determine whether there is a significant difference between the vector of the 30 day estimates of the 10 major components and the vector of the 90 day estimates of the same components. We conclude that, despite the existence of some bias, under most circumstances, an analyst could use the early data to obtain a realistic picture of what had happened in the economy in the previous quarter.Flash Estimates, Data Revisions, GDP Components, Statistical Tests, Business Cycles

Evaluating Current Year Forecasts Made During the Year: A Japanese Example

Forecasts for the current year that are made sometime during the current year are not true annual forecasts because they include already known information for the early part of the year. The current methodology that evaluates these ¡°forecasts¡± does not take into account the known information. This paper presents a methodology for calculating an implicit forecast for the latter part of a year conditional on the known information. We then apply the procedure to Japanese forecasts for 1988-2003 and analyze some of the characteristics of those predictions.Length: 24 pagesForecasting, Japanese forecasts, evaluation techniques

The state of macroeconomic forecasting

Macroeconomic forecasts are used extensively in industry and government The historical accuracy of US and UK forecasts are examined in the light of different approaches to evaluating macro forecasts. Issues discussed include the comparative accuracy of macroeconometric models compared to their time series alternatives, whether the forecasting record has improved over time, the rationality of macroeconomic forecasts and how a forecasting service should be chosen. The role of judgement in producing the forecasts is also considered where the evidence unequivocally favors such interventions. Finally the use of macroeconomic forecasts and their effectiveness is discussed. The conclusion drawn is that researchers have paid too little attention to the issue of improving the forecasting accuracy record. Areas where improvements would be particularly valuable are highlighted.