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BCR Analysis - Reputation - Bordeaux
BCR Analysis - Reputation - Bordeaux
In this paper we develop an original approach to evaluate the costs and benefits associated to a generic promotion program using an application to Bordeaux wines. The benefit is computed from the marginal impact of the collective reputation of the program on the individual reputation of its members. These different marginal impacts are estimated using detailed survey data about the image of Bordeaux wines in seven European countries. We find positive and significant spillover effects from the umbrella reputation (Bordeaux) that moreover increase with the individual reputation level of the wine. Controlling for the natural endogeneity of the collective reputation in this setup, we capture the important fact that this relationship is faced with marginal diminishing returns. These spillover effects, when significantly positive, vary from a minimum of 5% to a maximum of 15% of additional favorable quality opinions. We then show that some subregions are more likely to benefit from generic promotion programs, suggesting that fees should be established on a benefit-cost basis.
Brad Rickard
Inleveropgaven Basiswiskunde, Week 2
Inleveropgaven Basiswiskunde, Week 2
Voor huiswerkopdrachten
Sliem el Ela
Solução estacionária da EDP de Defeitos de Radiação por métodos numéricos
Solução estacionária da EDP de Defeitos de Radiação por métodos numéricos
It's a work that discuss solutions of an specific equation using different numerical methods.
Davi
Exploring the use of Big Data techniques for simulating Algorithmic Trading Strategies
Exploring the use of Big Data techniques for simulating Algorithmic Trading Strategies
In the world of information technology where huge amount of useful information is available and easily accessible, we investigate an approach to utilize this information in Algorithmic Trading. Algorithmic trading involves implementation of a strategy using computer programs to automatically buy and sell financial instruments to generate profit at a speed and frequency that is impossible for a human trader. High Frequency Trading (HFT) is one type of algorithmic trading characterized by high turnover and high order-to-trade ratios. There are different strategies that can be applied to HFT. We propose a framework to utilize information available in the form of news articles, which can be used in stock trading at high frequency. We use semantic values of news articles for different stocks to generate buy/sell signals at a high frequency. We demonstrate the performance of our framework by simulating stock trade based on generated buy/sell signals for a small period of time.
Jiten Thakkar
Tarea 4
Tarea 4
About VIR
Edi Calderon
Enhancing education through natural interaction with physical paper
Enhancing education through natural interaction with physical paper
Enhancing education through natural interaction with physical paper
Victor
Computer Based Modeling 1
Computer Based Modeling 1
Fluid Report
Harry Morgan
Birthcard
Birthcard
A birthcard made for expats. This includes a poem in two languages (Dutch and Spanish) and a nice drawing made by artist Neco Beth
R. Tj. Beth
NETWORK SECURITY ISSUES (BITCON)
NETWORK SECURITY ISSUES (BITCON)
It's very important to be on the safe side by avoiding hackers and other crimes while using the network.
suneri sayuni