We follow the seminal work of Paelinck (1978) who introduces spatial interdependence of, i.e. income, expenditure, investment, to classic Keynesian economic models, and estimate a spatial factor model. Asset prices may display characteristics of spatial dependence meaning spatial proximity can...

We analyze a recently proposed spatial autoregressive model for stock returns and compare it to a one-factor model and the sample covariance matrix. The influence of refinements to these covariance estimation methods is studied. We employ power mapping as a noise reduction technique for the...

For forecasting and economic analysis many variables are used in logarithms (logs). In time series analysis this transformation is often considered to stabilize the variance of a series. We investigate under which conditions taking logs is beneficial for forecasting. Forecasts based on the...

Since dividend imputation was introduced to Australia 32 years ago, researchers and corporate finance practitioners have debated the extent to which imputation credits are incorporated into share prices. One reason for divergence of opinions is the selective interpretation of coefficient...

This study examines whether and under what conditions common stock prices reflect the accounting mismeasurement of diluted EPS related to convertible instruments. As the costs and benefits of information processing related to the accounting mismeasurement are high, it is unclear under what...