An Empirical Investigation of the Effects of Rounding on the SPF Probabilities of Decline and Output Growth Histograms

I consider the possibility that respondents to the Survey of Professional Forecasters round their probability forecasts of the event that real output will decline in the future, as well as their reported output growth probability distributions. I make various plausible assumptions about respondents’ rounding practices, and show how these impinge upon the apparent mismatch between probability forecasts of a decline in output and the probabilities of this event implied by the annual output growth histograms. I find that rounding accounts for about a quarter of the inconsistent pairs of forecasts.     

Identifying Discretionary Fiscal Policy Reactions with Real‐Time Data

We propose a method of identifying discretionary fiscal policy reactions using real‐time data. Automatic stabilizers should depend on true GDP, while discretionary fiscal policy is contingent on the information that policy makers have in real time. We can compute a real‐time measurement error by comparing the first release of GDP data with later revisions. Discretionary fiscal policy is influenced by this measurement error, whereas automatic fiscal policy is not. We use this identification approach to test the central identifying assumption of Blanchard and Perotti’s (2002) seminal structural vector autoregression (VAR). According to this assumption, fiscal policy makers do not react to GDP developments contemporaneously in a discretionary fashion. We find that government expenditure is adjusted upward if GDP growth in real time is lower than true GDP. This suggests that fiscal policy makers use short‐term funds to buy goods and services in response to their perception of GDP dynamics.     

Testing weak form efficiency on the Toronto Stock Exchange

In order to test for weak form efficiency in the market a vast pool of individual stocks must be analyzed rather than a stock market index. In this paper, a model-based bootstrap is used to generate a series of simulated trials and a modified chart pattern recognition algorithm is applied to all stocks listed on the Toronto Stock Exchange (TSX). The number of patterns detected in the original price series is compared with the number of patterns found in the simulated series. By simulating the price path specific time dependencies present in real data are eliminated, making price changes purely random. Patterns, if consistently identified, carry information which adds value to the investment process, however, this informativeness does not guarantee profitability. Conclusions are drawn on the relative efficiency of some sectors of the economy. Although the null hypothesis of weak form efficiency on the TSX cannot be rejected, some sectors of the Canadian economy appear to be less efficient than others. In addition, pattern frequencies appear to be negatively dependent on the two moments of return distributions, variance and kurtosis.     

BE/ME and E/P work better than ME/BE or P/E in regressions

Researchers often form ratios of variables to measure firm characteristics, but which ratios create the most powerful tests? For example, if we use ratios of book value of equity (BE) and market value of equity (ME), or earnings (E) and price (P), does it matter which variable appears in the denominator? Any variable in the denominator, when close to zero, creates outliers and is less likely to produce effective tests. Our tests, using data from 1972 to 2008, indicate the choice between reciprocals often produces significantly different outcomes. While ME/BE is a more commonly used control variable than BE/ME or LN(BE/ME), we find the latter two produce better results, even if the data are trimmed to mitigate the outlier problem. Similarly, using E/P generally produces better results than P/E, and while ratios with book value of assets (BA) in the numerator work better than those with it in the denominator, the difference is less pronounced than when BE or E is part of the ratio. While the focus of our empirical findings is on growth measures, the principal applies anytime a ratio has a denominator that is frequently near zero.     

Measuring price discovery: The variance ratio, the R, and the weighted price contribution

We analyze the statistical properties of three price discovery measures: The variance ratio, the weighted price contribution (WPC), and the R² of unbiasedness regressions. We find that, if the price process is a driftless martingale, only the WPC is an unbiased estimator for the return variance explained during a time interval. For autocorrelated processes with a drift, only the R² of the unbiasedness regression is consistent, but it is biased for small samples.     

Foreign Banks and the Dual Effect of Financial Liberalization

In emerging countries, credit market liberalization is often motivated with the financial deepening generated by the entry of foreign financial institutions. However, there is a risk that liberalization may benefit internationally active, export‐oriented businesses at the expense of domestically oriented ones. This paper models a two‐sector economy in which foreign lenders are more efficient than local lenders at extracting value from internationally tradable collateral assets. Under some conditions the entry of foreign lenders eases entrepreneurs’ access to the credit market and raises asset prices and output, but in other circumstances it reduces the depth of the credit market and depresses the price of nontradables and output. Liberalization can have a contractionary impact by inducing a reallocation of credit from the nontradables to the tradables sector.     

Disappearing Dividends: Implications for the Dividend–Price Ratio and Return Predictability

The conventional dividend–price ratio is highly persistent, and the literature reports mixed evidence on its role in predicting stock returns. We argue that the decreasing number of firms with a traditional dividend‐payout policy is responsible for these results, and develop a model in which the long‐run relationship between the dividends and stock price is time varying. An adjusted dividend–price ratio that accounts for the time‐varying long‐run relationship is considerably less persistent. Furthermore, the predictive regression model that employs the adjusted dividend–price ratio as a regressor outperforms the random‐walk model. These results are robust with respect to the firm size.     

Regional capital mobility in China: Economic reform with limited financial integration

This paper assesses the changes in the regional capital mobility in China during the period of economic reform in 1978–2008 by employing a panel time varying coefficient (TVP) model. This approach is much more suitable to model China's evolution in the regional capital mobility than a standard structural break model as China's reforms took place gradually and were often implemented over several stages. Using the TVP model, we find that (1) China's provincial capital mobility demonstrated a moderate improvement over the sample period, but worsened temporarily between 1994 and 1997. This is probably due to the government's effort to combat inflation which reduced the investment and transfers to regions; (2) regions with the most developed and least developed provinces experienced higher degree of capital mobility improvement than those in the middle.     

General equilibrium with heterogeneous participants and discrete consumption times

The paper investigates the term structure of interest rates imposed by equilibrium in a production economy consisting of participants with heterogeneous preferences. Consumption is restricted to an arbitrary number of discrete times. The paper contains an exact solution to market equilibrium and provides an explicit constructive algorithm for determining the state price density process. The convergence of the algorithm is proven. Interest rates and their behavior are given as a function of economic variables.     

Oil price dynamics,macro-finance interactions and the role of financial speculation

What is the role of financial speculation in determining the real oil price? We find that while macroeconomic shocks have been the main real oil price upward driver since mid-1980s, financial shocks have sizably contributed since early 2000s as well, and at a much larger extent since mid-2000s. Even though financial shocks contribute 44% out of the 65% real oil price increase over the period 2004–2010, the third oil price shock is a macro-finance episode: macroeconomic shocks actually largely account for the 2007–2008 oil price swing. While we then find support to the demand side view of real oil price determination, we however also find a much larger role for financial shocks than previously noted in the literature.