Share price anticipation of earnings and management's discussion of operations and financing

This paper combines research on the measurement of disclosure quality and the measurement of share price anticipation of earnings to produce a new test of the usefulness of the information disclosed in management discussions of operations and financing for predicting future earnings. Market-Based Accounting Research has shown that earnings changes are anticipated and impounded in prices well before the financial year for which earnings are reported. This price anticipation leads to downward biased earnings response coefficients (ERCs) in the commonly estimated regression model of returns on contemporaneous earnings changes. We exploit predictable differences in the biasedness of the ERC estimate across firm-years to test the hypothesis that share prices are better informed when the annual report contains a detailed discussion of the firm's operations and financing. Our results suggest that such voluntary disclosure may have been useful in predicting future earnings changes. The effect would appear to be strongest (1) in models that examine one-period-ahead and two-period-ahead share price anticipation and (2) when we employ a disclosure index that captures forward-looking information.     

Measuring portfolio strategic performance using key performance indicators

It is difficult to find indicators for measuring the achievement of objectives during the progress of project portfolios. This article presents an approach for developing key strategic perfor‐mance indicators considering this limitation. The indicators proposed help measure the achievement of a portfolio's strategic objectives taking into account the realization of key benefits. This approach helps identify strategic interdependences between projects that the portfolio is composed of, facilitating the understanding of how the performance of a single project affects the overall performance of a portfolio. The key perfor‐mance indicators can also be used for monitoring the materialization of risks and opportunities influencing the strategic performance of a portfolio.     

PORTFOLIO CHOICE VIA QUANTILES

A portfolio choice model in continuous time is formulated for both complete and incomplete markets, where the quantile function of the terminal cash flow, instead of the cash flow itself, is taken as the decision variable. This formulation covers a wide body of existing and new models with law‐invariant preference measures, including expected utility maximization, mean–variance, goal reaching, Yaari's dual model, Lopes' SP/A model, behavioral model under prospect theory, as well as those explicitly involving VaR and CVaR in objectives and/or constraints. A solution scheme to this quantile model is proposed, and then demonstrated by solving analytically the goal‐reaching model and Yaari's dual model. A general property derived for the quantile model is that the optimal terminal payment is anticomonotonic with the pricing kernel (or with the minimal pricing kernel in the case of an incomplete market if the investment opportunity set is deterministic). As a consequence, the mutual fund theorem still holds in a market where rational and irrational agents co‐exist.     

Claims,Concerns and Interests In British Credit Union Development

The British credit union movement has grown rapidly over the past decade, albeit from a low base relative to other nations. That growth has been led by a natlonal credlt union pollcy network. Thls article provides a detailed appraisal of the structure of that network, the motivations of its members and the relations between them.

This study highlights the existence of contradictions in the ‘policy space’ occupied by this network that have obscured the public interest In credit union development to date. These contradictions need to be resolved if the performance of the system as a whole is to be improved and public policy goals are to be met Increasing visibtlity ensuing from repeated endorsement of credit unions by the Labour government is bringing added pressures to bear on that network. New actors may be expected to enter the credit union polltlcal market as a result The irnpacts of entry, both positive and negative, are evaluated in terms of the coheslon and effectiveness of ihe credit union policy network.     

CONSTANT PROPORTION PORTFOLIO INSURANCE IN THE PRESENCE OF JUMPS IN ASSET PRICES

Constant proportion portfolio insurance (CPPI) allows an investor to limit downside risk while retaining some upside potential by maintaining an exposure to risky assets equal to a constant multiple of the cushion , the difference between the current portfolio value and the guaranteed amount. Whereas in diffusion models with continuous trading, this strategy has no downside risk, in real markets this risk is nonnegligible and grows with the multiplier value. We study the behavior of CPPI strategies in models where the price of the underlying portfolio may experience downward jumps. Our framework leads to analytically tractable expressions for the probability of hitting the floor, the expected loss, and the distribution of losses. This allows to measure the gap risk but also leads to a criterion for adjusting the multiplier based on the investor's risk aversion. Finally, we study the problem of hedging the downside risk of a CPPI strategy using options. The results are applied to a jump-diffusion model with parameters estimated from returns series of various assets and indices.     

International Linkages among Stock Markets of Malaysia and Its Major Trading Partners

This study empirically examines the short- and long-run dynamic causal linkages between Malaysia and its major trading partners (the United States, Japan, Singapore, China, and Thailand) based on a two-step estimation, Autoregressive distributed lag (ARDL) and Generalized Method of Moments (GMM) during the period 1992–2008. The study documents that the stronger the trade ties among the countries, the higher the degree of comovements among their stock markets. The Japanese stock market, to some extent, is found to be more important than the United States over these markets. In designing stock market policies, each country should take into consideration of any shocks in its major trading partners.     

Bayesian forecasting and portfolio decisions using dynamic dependent sparse factor models

We extend the recently introduced latent threshold dynamic models to include dependencies among the dynamic latent factors which underlie multivariate volatility. With an ability to induce time-varying sparsity in factor loadings, these models now also allow time-varying correlations among factors, which may be exploited in order to improve volatility forecasts. We couple multi-period, out-of-sample forecasting with portfolio analysis using standard and novel benchmark neutral portfolios. Detailed studies of stock index and FX time series include: multi-period, out-of-sample forecasting, statistical model comparisons, and portfolio performance testing using raw returns, risk-adjusted returns and portfolio volatility. We find uniform improvements on all measures relative to standard dynamic factor models. This is due to the parsimony of latent threshold models and their ability to exploit between-factor correlations so as to improve the characterization and prediction of volatility. These advances will be of interest to financial analysts, investors and practitioners, as well as to modeling researchers.     

THE NUMÉRAIRE PROPERTY AND LONG‐TERM GROWTH OPTIMALITY FOR DRAWDOWN‐CONSTRAINED INVESTMENTS

We consider the portfolio choice problem for a long‐run investor in a general continuous semimartingale model. We combine the decision criterion of pathwise growth optimality with a flexible specification of attitude toward risk, encoded by a linear drawdown constraint imposed on admissible wealth processes. We define the constrained numéraire property through the notion of expected relative return and prove that drawdown‐constrained numéraire portfolio exists and is unique, but may depend on the investment horizon. However, when sampled at the times of its maximum and asymptotically as the time‐horizon becomes distant, the drawdown‐constrained numéraire portfolio is given explicitly through a model‐independent transformation of the unconstrained numéraire portfolio. The asymptotically growth‐optimal strategy is obtained as limit of numéraire strategies on finite horizons.