We examine whether Basu's (1997) differential timeliness metric and the related C-Score metric are effective in detecting predictable differences in conservatism surrounding corrections of overstated earnings. Cross-sectional and time-series analyses, employing 2,132 firms making restatements...

We examine time-series variations in accounting conservatism in the Japanese market. Previous studies have found that the Japanese market has low accounting conservatism. Over the last 30 years, however, the Japanese market has experienced significant institutional changes. Thus, we examine...

We examine whether Basu's (1997) differential timeliness metric and the related C-Score metric are effective in detecting predictable differences in conservatism surrounding corrections of overstated earnings. Cross-sectional and time-series analyses, employing 2,132 firms making restatements...

The Georgian Stock Exchange (GeSE) is one of the smallest and most illiquid capital markets worldwide. Inefficient regulation and high transaction costs feature high in describing the embryonic stage of Georgia's stock market. This paper, by supplying first-hand empirical evidence on time-series...

The study aims at simulating and forecasting a company's stock returns and prices by a fundamentalist analysis process based on a Vector Error Correction with Exogenous Variables (VECX) econometric model. To achieve this, we selected relevant fundamentalist indicators and specified a model...

The size of the equity risk premium remains an unanswered question in the accounting and finance literature. This study proposes a new approach to reverse-engineer the equity risk premium, distinct from prior research, in that it does not rely on analysts' forecasts to proxy for the market's...

We re-examine the widely held belief that analysts' earnings per share (EPS) forecasts are superior to random walk (RW) time-series forecasts. We investigate whether analysts' annual EPS forecasts are superior, and if so, under what conditions. Simple RW EPS forecasts are more accurate than...

The size of the equity risk premium remains an unanswered question in the accounting and finance literature. This study proposes a new approach to reverse-engineer the equity risk premium, distinct from prior research, in that it does not rely on analysts’ forecasts to proxy for the market’s...

We introduce a long memory autoregressive conditional Poisson (LMACP) model to model highly persistent time series of counts. The model is applied to forecast quoted bid-ask spreads, a key parameter in stock trading operations. It is shown that the LMACP nicely captures salient features of...

The asymmetric moving average model (asMA) is extended to allow forasymmetric quadratic conditional heteroskedasticity (asQGARCH). Theasymmetric parametrization of the conditional variance encompassesthe quadratic GARCH model of Sentana (1995). We introduce a framework fortesting asymmetries in...