A noncooperative model of contest network formation

In this paper we study a model of weighted network formation. The bilateral interaction is modeled as a Tullock contest game with the possibility of a draw. We describe stable networks under different concepts of stability. We show that a Nash stable network is either the empty network or the complete network. The complete network is not immune to bilateral deviations. When we allow for limited farsightedness, a stable network immune to bilateral deviations must be a complete $M$-partite network, with partitions of different sizes. We provide several comparative statics results illustrating the importance of the structure of stable networks in mediating the effects of shocks and interventions. In particular, we show that an increase in the likelihood of a draw has a nonmonotonic effect on the level of wasteful contest spending in the society. To the best of our knowledge, this paper is the first attempt to model weighted network formation when the actions of individuals are neither strategic complements nor strategic substitutes.     

Impact of state-dependent oil price on US stock returns using local projections

In this paper, we investigate the impact of oil prices on both aggregate and industry US real stock returns over the period 1973–2017. The empirical analysis contributes to the related literature introducing a state-dependent oil price (high and low) and the local projections approach. Our main finding is that, depending on the nature of the shock and industry, the negative effects of oil price shocks become exacerbated -and the positive effects get moderated- if oil prices are already high.     

Stock market volatility forecasting: Do we need high-frequency data?

The general consensus in the volatility forecasting literature is that high-frequency volatility models outperform low-frequency volatility models. However, such a conclusion is reached when low-frequency volatility models are estimated from daily returns. Instead, we study this question considering daily, low-frequency volatility estimators based on open, high, low, and close daily prices. Our data sample consists of 18 stock market indices. We find that high-frequency volatility models tend to outperform low-frequency volatility models only for short-term forecasts. As the forecast horizon increases (up to one month), the difference in forecast accuracy becomes statistically indistinguishable for most market indices. To evaluate the practical implications of our results, we study a simple asset allocation problem. The results reveal that asset allocation based on high-frequency volatility model forecasts does not outperform asset allocation based on low-frequency volatility model forecasts.     

基于消费者运动的社会营销学研究综述

20世纪美国消费者运动风起云涌。推动了政府的立法活动和营销学研究。本文回顾美国消费者运动的进程，评述基于消费者运动的社会营销学研究，并对中国的消费者权益保护及其社会营销学研究提出建议。     

The economic effects of reducing and reorganizing working time

This article goes beyond the often ideological debate for and against a reduction in working time and analyses the effects of shorter working time at company and country levels. Logic and experience dictate that such reductions must be accompanied by a process of work reorganization and include financial compensation for those working shorter hours. However, while these three ingredients are indissoluble, not all firms can proceed at the same pace and in the same ways. Nevertheless, the article shows that, as long as implementation proceeds in a decentralized and selective manner and is accompanied by a judicious reorganization of these hours, it could be extremely beneficial to all parties—companies, the state and individuals, both workers and producers.     

Multi-stage real option evaluation with double barrier under stochastic volatility and interest rate

Annals of Finance - This paper focuses on valuing R&D projects using a twofold compound real option by including two knock-out barriers. However, the valuation of R&D projects is...