Predictive Ability of Business Cycle Indicators under Test: A Case Study for the Euro Area Industrial Production

In this paper we assess the information content of seven widely cited early indicators for the euro area with respect to forecasting area-wide industrial production. To this end, we use various tests that are designed to compare competing forecast models. In addition to the standard Diebold-Mariano test, we employ tests that account for specific problems typically encountered in forecast exercises. Specifically, we pay attention to nested model structures, we alleviate the problem of data snooping arising from multiple pairwise testing, and we analyze the structural stability in the relative forecast performance of one indicator compared to a benchmark model. Moreover, we consider loss functions that overweight forecast errors in booms and recessions to check whether a specific indicator that appears to be a good choice on average is also preferable in times of economic stress. We find that on average three indicators have superior forecast ability, namely the EuroCoin indicator, the OECD composite leading indicator, and the FAZ-Euro indicator published by the Frankfurter Allgemeine Zeitung. If one is interested in one-month forecasts only, the business climate indicator of the European Commission yields the smallest errors. However, the results are not completely invariant against the choice of the loss function. Moreover, rolling local tests reveal that the indicators are particularly useful in times of unusual changes in industrial production while the simple autoregressive benchmark is difficult to beat during time of average production growth

A Fourth Amendment for the Poor Alone: Subconstitutional Status and the Myth of the Inviolate Home

For much of our nation’s history, the poor have faced pervasive discrimination in the exercise of fundamental rights. Nowhere has the impairment been more severe than in the area of privacy. This Article considers the enduring legacy of this tradition with respect to the Fourth Amendment right to domestic privacy. Far from a matter of receding historical interest, the diminution of the poor’s right to privacy has accelerated in recent years and now represents a powerful theme within the jurisprudence of poverty. Triggering this development has been a series of challenges to aggressive administrative practices adopted by localities in the wake of federal welfare-reform legislation. As a precondition to public assistance, some jurisdictions now require that all applicants submit to a suspicionless home search by law-enforcement investigators seeking evidence of welfare fraud. In turning back challenges to these intrusions, contemporary courts have significantly curtailed the protections of the Fourth Amendment as applied to the poor. While the courts that sanction these practices disclaim any sort of poverty-based classification underlying their analysis, no other rationale withstands scrutiny. Neither precedent nor the principled extension of existing doctrine justifies recent outcomes or explains why the holdings should not be applied to authorize a vast - and, thus, unacceptable - expansion of suspicionless search practices directed at the homes of the less destitute. The developing jurisprudence accordingly represents an implicit concession that the poor constitute a subconstitutional class for purposes of the Fourth Amendment. Framed most charitably, the decisions understand poverty as a condition of moral culpability and thus accept it as a surrogate for the individualized suspicion that otherwise would be required to justify the intrusions at issue. The premise of the dissolute poor, tracing back centuries, remains alive and well in American law, and we have a bifurcated Fourth Amendment to prove its enduring vitality

Forecasting Inflation using Economic Indicators: the Case of France

In order to provide short run forecasts of headline and core HICP inflation for France, we assess the forecasting performance of a large set of economic indicators, individually and jointly, as well as using dynamic factor models. We run out-of-sample forecasts implementing the Stock and Watson (1999) methodology. It turns out that, according to usual statistical criteria, the combination of several indicators -in particular those derived from surveys- provides better results than dynamic factor models, even after pre-selection of the variables included in the panel. However, factors included in VAR models exhibit more stable forecasting performance over time. Results for HICP excluding unprocessed food and energy are very encouraging. Moreover, we show that it is possible to use forecasts on this indicator to project overall inflation.Inflation ; Out-of-sample forecast ; Indicator models ; Dynamic factor models ; Phillips curve.

Testing the Profitability of Technical Analysis as a Portfolio Selection Strategy

One of the main diffculties in evaluating the profits obtained using technical analysis is that trading rules are often specifed rather vaguely by practitioners and depend upon the judicious choice of rule parameters. In this paper, popular moving-average (or cross-over) rules are applied to a cross-section of Australian stocks and the signals from the rules are used to form portfolios. The performance of the trading rules across the full range of possible parameter values is evaluated by means of an aggregate test that does not depend on the parameters of the rules. The results indicate that for a wide range of parameters moving-average rules generate contrarian profits (profits from the moving-average rules are negative). In bootstrap simulations the returns statistics are significant indicating that the moving-average rules pick up some form of systematic variation in returns that does not correlate with the standard risk factors.Stock returns, Technical analysis, Momentum trading rules, Bootstrapping.

Predictive Ability of Business Cycle Indicators under Test: A Case Study for the Euro Area Industrial Production

In this paper we assess the information content of seven widely cited early indicators for the euro area with respect to forecasting area-wide industrial production. To this end, we use various tests that are designed to compare competing forecast models. In addition to the standard Diebold-Mariano test, we employ tests that account for specific problems typically encountered in forecast exercises. Specifically, we pay attention to nested model structures, we alleviate the problem of data snooping arising from multiple pairwise testing, and we analyze the structural stability in the relative forecast performance of one indicator compared to a benchmark model. Moreover, we consider loss functions that overweight forecast errors in booms and recessions to check whether a specific indicator that appears to be a good choice on average is also preferable in times of economic stress. We find that there is not one best indicator that uniformly dominates all its competitors. The optimal choice rather depends on the specific forecast situation and the loss function of the user. For 1-month forecasts the business climate indicator of the European Commission and the OECD composite leading indicator generally work well, for 6-month forecasts the OECD composite leading indicator performs very good by all criteria, and for 12-month forecasts the FAZ-Euro indicator published by the Frankfurter Allgemeine Zeitung is the only one that can beat the benchmark AR(1) model.weighted loss, leading indicators, euro area, forecasting

Predicting real growth using the yield curve

A study using out-of-sample regressions to determine how well the 10-year, 3-month yield spread predicts future real GDP growth. The author finds that although the yield curve is a good predictor over the entire 30-year sample period, it has become much less accurate over the last decade.Forecasting ; Interest rates

Pairs Trading: Performance of a Relative Value Arbitrage Rule

We test a Wall Street investment strategy known as pairs trading' with daily data over the period 1962 through 1997. Stocks are matched into pairs according to minimum distance in historical normalized price space. We test the profitability of several trading rules with six-month trading periods over the 1962-1997 period, and find average annualized excess returns of up to 12 percent for a number of self-financing portfolios of top pairs. Part of these profits may be due to market microstructure effects. Nevertheless, our historical trading profits exceed a conservative estimate of transaction costs through most of the period. We bootstrap random pairs in order to distinguish pairs trading from pure mean-reversion strategies. The bootstrap results suggest that the pairs' effect differs from previously documented mean reversion profits.