Airborne Laser Scanning (ALS) has implied a disruptive transformation of how data are gathered for forest management planning in Nordic countries. We show this study that the accuracy ALS predictions growing stock volume can be maintained and even improved over time if they forecasted assimilated with more frequent but less accurate remote sensing sources like satellite images, digital photogra...

About 25% of the world's fisheries are depleted such that their current biomass is lower than the level that would maximize the sustained yield (MSY). By using methods not previously applied in the fisheries conservation context, we show in four disparate fisheries (including the long-lived and slow-growing orange roughy) that the dynamic maximum economic yield (MEY), the biomass that produces ...

A growing body of research points to the fact that capital markets react to environmental news and thus create incentives for pollution control in both developed and emerging market economies. In this paper we conduct an event study to examine the impact of environmental rating of large pulp and paper, auto and chlor alkali firms on their stock prices. We find that the market generally penalize...

A growing theoretical literature describes mechanisms whereby even predictable increases in the rate of inflation interfere with the ability of the financial sector to allocate resources effectively. This paper empirically assesses these predictions. The evidence indicates that there is a significant, and economically important, negative relationship between inflation and both banking sector de...

Price forecasting is an integral part of economic decision making. Forecasts may be used in numerous ways; specifically, individuals may use forecasts to try to earn income from speculative activities, to determine optimal government policies or to make business decisions. The importance of this topic is caused by instability in the world economy and stock markets; there is a growing interest i...

ver the past several decades, economists have devoted ever-growing effort to developing economic models to help us understand how changes in interest rates brought about by monetary policy actions affect the production and provision of goods and services in the economy. Although New Keynesian models have broad appeal in explaining how changes in the money stock can affect business activity, the...

Neural Networks are an artificial intelligence method for modeling complex target functions. For certain types of problems, such as learning to interpret complex realworld sensor data, Artificial Neural Networks (ANNs) are among the most effective learning methods currently know. During the last decade they have been widely applied to the domain of financial time series prediction and their imp...