Contingent ownership structures are prevalent in joint ventures. This paper o ers an explanation based on the investment incentives provided by such an arrangement. We consider a hold-up problem in which two parties make relationshipspeci c investments sequentially in order to generate a joint surplus in the future. In our model, the following ownership structure implements rst best investments...

We use mutual fund flows as a measure of individual investor sentiment for different stocks, and find that high sentiment predicts low future returns. Fund flows are dumb money–by reallocating across different mutual funds, retail investors reduce their wealth in the long run. This dumb money effect is related to the value effect: high sentiment stocks tend to be growth stocks. High sentiment a...

I study how strategic alliances and their impact on future competitive incentives can motivate interfirm equity sales. In the model, an alliance between an entrepreneurial firm and an established firm improves efficiency for both. However, the requisite knowledge transfer heightens the established firm’s incentive to enter one of its partner’s markets. I show that equity can eliminate the entry...

The aim of this study is to examine the impact legal audit quality on likelihood accounting fraud, for a sample 48 companies listed Tunisian stock market over period between 2014 and 2018. Based logit panel regression, we have shown that firm's membership in one Big networks rotation external auditors are two major determinants reduction cases fraud companies. In addition, results showed joint ...

This paper proposes a partial equilibrium model to describe the global crude oil market. Pricing on the global crude oil market is strongly influenced by price indices such as WTI (USA) and Brent (Northwest Europe). Adapting an approach for pool-based electricity markets, the model captures the particularities of these benchmark price indices and their influence on the market of physical oil. T...

Neural nets have become one of the most important tools using in credit scoring. Credit scoring is regarded as a core appraised tool of commercial banks during the last few decades. The purpose of this paper is to investigate the ability of neural nets, such as probabilistic neural nets and multi-layer feed-forward nets, and conventional techniques such as, discriminant analysis, probit analysi...