Abolishing the Tax‐Free Threshold in Australia: Simulating Alternative Reforms*

This paper examines the role of the tax‐free income tax threshold in a complex tax and transfer system consisting of a range of taxes and benefits, each with its own taper rates and thresholds. Considering a tax and benefit system with benefit taper rates whereby some benefits are received by income groups other than those at the bottom of the distribution, it is suggested that a tax‐free threshold is not a necessary requirement to achieve redistribution. Four alternative policy changes, each involving the elimination of the tax‐free threshold in Australia and designed to achieve approximate revenue neutrality, were examined using the Melbourne Institute Tax and Transfer Simulator. A range of implications were examined, including labour supply responses to tax changes and the effects of policy changes on inequality and social welfare. The results demonstrate that it is possible to eliminate the tax‐free threshold under approximate overall revenue and distribution neutrality, but that it is impossible to improve labour supply incentives at the same time. In order to achieve improved incentives, either revenue or distribution neutrality has to be sacrificed.     

Creating Value Through Best‐In‐Class Capital Allocation1

With the economy showing signs of recovery, companies are shifting their focus from liquidity and balance sheet concerns back towards capital allocation and value creation. This article provides a comprehensive framework to examine shareholder value creation through capital allocation, and discusses important capital allocation lessons that have re‐emerged over the last few years. Notable among the key lessons are the following:

• ? Growth alone does not guarantee value creation, which suggests that companies should allocate capital based on the economic value of each investment opportunity.
• ? The limits of diversification in a financial crisis should be considered when allocating capital and managing liquidity.
• ? Companies should be conservative with base‐case cash flow projections and incorporate the possibility of downside scenarios into their projections.
• ? It is important to incorporate all forms of capital when managing liquidity.
• ? Whether using a long‐term or current‐market approach, companies should be consistent throughout the cycle in their cost of capital methodology.
• ? Companies should continually rethink investments and allocate capital in an attempt to maintain a competitive advantage.
• ? Evaluate returns relative to risk and cost of capital, and not against the company's average ROIC.
• ? Comparing the IRR of share repurchases to new investments is not an apples‐to‐apples comparison.

Finally, companies should concentrate on the strategic uses and value of particular assets and not allow their decisions to be driven by the value they might receive relative to their initial cost.     

Are analysts’ earnings forecasts more accurate when accompanied by cash flow forecasts?

We examine whether analysts’ earnings forecasts are more accurate when they also issue cash flow forecasts. We find that (i) analysts’ earnings forecasts issued together with cash flow forecasts are more accurate than those not accompanied by cash flow forecasts, and (ii) analysts’ earnings forecasts reflect a better understanding of the implications of current earnings for future earnings when they are accompanied by cash flow forecasts. These results are consistent with analysts adopting a more structured and disciplined approach to forecasting earnings when they also issue cash flow forecasts. Finally, we find that more accurate cash flow forecasts decrease the likelihood of analysts being fired, suggesting that cash flow forecast accuracy is relevant to analysts’ career outcomes.     

Global private information in international equity markets

This paper studies international equity markets when some investors have private information that is valuable for trading in many countries simultaneously. We use a dynamic model of equity trading to show that global private information helps explain US investors’ trading behavior and performance. In particular, the model predicts global return chasing (positive co-movement of US investors’ net purchases with returns in many countries) which we show to be present in the data. Return chasing in our model can be due to superior performance of US investors, not inferior knowledge or naive trend-following. We also show that trades due to private information are strongly correlated across countries. A common (global) factor accounts for about half their variation.     

Modeling Mortality With Jumps: Applications to Mortality Securitization

In this article, we incorporate a jump process into the original Lee–Carter model, and use it to forecast mortality rates and analyze mortality securitization. We explore alternative models with transitory versus permanent jump effects and find that modeling mortality via transitory jump effects may be more appropriate in mortality securitization. We use the Swiss Re mortality bond in 2003 as an example to show how to apply our model together with the distortion measure approach to value mortality-linked securities. Pricing the Swiss Re mortality bond is challenging because the mortality index is correlated across countries and over time. Cox, Lin, and Wang (2006) employ the normalized multivariate exponential tilting to take into account correlations across countries, but the problem of correlation over time remains unsolved. We show in this article how to account for the correlations of the mortality index over time by simulating the mortality index and changing the measure on paths.     

Bond risk premia and realized jump risk

We find that augmenting a regression of excess bond returns on the term structure of forward rates with an estimate of the mean realized jump size almost doubles the R² of the forecasting regression. The return predictability from augmenting with the jump mean easily dominates that offered by augmenting with options-implied volatility and realized volatility from high-frequency data. In out-of-sample forecasting exercises, inclusion of the jump mean can reduce the root mean square prediction error by up to 40%. The incremental return predictability captured by the realized jump mean largely accounts for the countercyclical movements in bond risk premia. This result is consistent with the setting of an incomplete market in which the conditional distribution of excess bond returns is affected by a jump risk factor that does not lie in the span of the term structure of yields.     

Is integration I(d) applicable to observed economics and finance time series?

The method of cointegration in regression analysis is based on an assumption of stationary increments. Stationary increments with fixed time lag are called ‘integration I(d)’. A class of regression models where cointegration works was identified by Granger and yields the ergodic behavior required for equilibrium expectations in standard economics. Detrended finance market returns are martingales, and martingales do not satisfy regression equations. We ask if there exist detrended processes beyond standard regression models that satisfy integration I(d). We show that stationary increment martingales are confined to the Wiener process, and observe that martingales describing finance data admit neither the integration I(d) nor the ergodicity required for long time equilibrium relationships. In particular, the martingales derived from finance data do not admit the time (or ‘space’) translational invariance required for increment stationarity. Our analysis explains the lack of equilibrium observed earlier between FX rates and relative price levels.     

Commonalities in the order book

This paper uses data from one of the most important European stock markets and shows that, in line with predictions from theoretical market microstructure, a small number of latent factors captures most of the variation in stock specific order books. We show that these order book commonalities are much stronger than liquidity commonality across stocks. The result that bid and ask side as well as the visible and hidden parts of the order book exhibit quite specific dynamics is interpreted as evidence that open order book markets attract a heterogeneous trader population in terms of asset valuations and impatience. Quantifying the informational content of the extracted factors with respect to the evolution of the asset price, we find that the factor information shares are highest (about 10%) for less frequently traded stocks. We also show that the informational content of hidden orders is limited.

OTC MARKET SWITCHING AND STOCK RETURNS: SOME EMPIRICAL EVIDENCE

In this study the effect on the common stock returns of 278 firms that switched OTC market segments from 1982 to 1987 is examined. It is hypothesized that abnormally positive returns are associated with news of the move from the NASDAQ to the NASDAQ National Market System (NMS) and that the market responds more favorably during pre-NMS inclusion for stocks with low versus high liquidity before switching. Using event study methodology, results support these hypotheses. Unlike post-listing studies, the evidence reveals no anomalous return behavior during the post-NMS inclusion period studied.