Over the past few years, we have seen an increased need for analyzing the dynamically changing behaviors of economic and financial time series. These needs have led to significant demand for methods that denoise non-stationary time series across time and for specific investment horizons (scales)...

We introduce a new methodology for forecasting which we call Signal Diffusion Mapping. Our approach accommodates features of real world financial data which have been ignored historically in existing forecasting methodologies. Our method builds upon well-established and accepted methods from...

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 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...