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Prediction markets are forums for trad- ing contracts that yield payments based on the outcome of uncertain events.There is mounting evidence that such markets can help to produce forecasts of event o...
In the Czech Republic, there is still a predominance of obsolete apple orchards that were established more than 15 years ago and that are not profitable under contemporary conditions. Typical features...
An important issue for agricultural planning purposes is the accurate yield estimation for the numerous crops involved in the planning. Machine learning (ML) is an essential approach for achieving pra...
Determining which attributes may be employed for predicting the market capitalization of a business firm is a challenging task which may benefit from research intersecting principles of accounting and...
Decision-making problems in the area of financial status evaluation have been considered very important. Making incorrect decisions in firms is very likely to cause financial crises and distress. Pred...
A limit order book provides information on available limit order prices and their volumes. Based on these quantities, we give an empirical result on the relationship between the bid-ask liquidity bala...
The contribution deals with the prediction of crop yield levels, using an artificial intelligence approach, namely a multi-layer neural network model. Subsequently, we are contrasting this approach wi...
We introduce the concept of "negative bubbles" as the mirror image of standard financial bubbles, in which positive feedback mechanisms may lead to transient accelerating price falls. To model these n...
We propose the development of a prediction market for forecasting prices for “toxic assets” to be transferred from Irish banks to the National Asset Management Agency (NAMA). Such a market allows mark...
The paper deals with the financial situation of two selected agricultural enterprises in productive as well as in less favourable areas (LFA) in the present situation – before and consecutively after ...

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