37 resultados para Nyse Stocks


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Memoria de un proyecto de desarrollo de una aplicación JEE para la gestión de stocks.

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In order to evaluate the success of the reintroduction of the Eurasian otter (Lutra lutra) in the Empordh wetlands (Parc Natural dels Aiguamolls de I'Empordhà), and the Muga and Fluvih basins, density of fish, biomass and production in the Muga and Fluvia Rivers have been estimated, since fishes represent the principal prey in the otter diet. 12 study sites were selected in order to survey the main flows in both basins. Electrofishing surveys were conducted by blocking off the station with barrier nets, which was performed upon 3 successive catches. The density estimated presents a range of 1,136-1 25 ind .ha' in the Muga basin, 4,49-163 ind.ha' in the Fluvih basin and 3,76-52,2 ind.ha' in the Empordh wetlands. Estimated biomass ranges are 0,616-277,6 g.m2, 8,79-351,2 g.m2, and 5,7-108 g.m-2 respectively. These density anfi biomass ranges are similar to other results obtained from rivers inhabited by the Eurasian otter in NE Spain

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This paper develops a theory of the joint allocation of formal control and cash-flow rights in venture capital deals. We argue that when the need for investor support calls for very high-powered outside claims, entrepreneurs should optimally retain formal control in order to avoid excessive interference. Hence, we predict that risky claims should be be negatively correlated to control rights, both along the life of a start-up and across deals. This challenges the idea that risky claims should a ways be associated to more formal control, and is in line with contractual terms increasingly used in venture capital, in corporate venturing and in partnership deals between biotech start-ups and large drug companies. The paper provides a theoretical explanation to some puzzling evidence documented in Gompers (1997) and Kaplan and Stromberg (2000), namely the inclusion in venture capital contracts of contingencies that trigger both a reduction in VC control and the conversion! of her preferred stocks into common stocks.

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One of the main implications of the efficient market hypothesis (EMH) is that expected future returns on financial assets are not predictable if investors are risk neutral. In this paper we argue that financial time series offer more information than that this hypothesis seems to supply. In particular we postulate that runs of very large returns can be predictable for small time periods. In order to prove this we propose a TAR(3,1)-GARCH(1,1) model that is able to describe two different types of extreme events: a first type generated by large uncertainty regimes where runs of extremes are not predictable and a second type where extremes come from isolated dread/joy events. This model is new in the literature in nonlinear processes. Its novelty resides on two features of the model that make it different from previous TAR methodologies. The regimes are motivated by the occurrence of extreme values and the threshold variable is defined by the shock affecting the process in the preceding period. In this way this model is able to uncover dependence and clustering of extremes in high as well as in low volatility periods. This model is tested with data from General Motors stocks prices corresponding to two crises that had a substantial impact in financial markets worldwide; the Black Monday of October 1987 and September 11th, 2001. By analyzing the periods around these crises we find evidence of statistical significance of our model and thereby of predictability of extremes for September 11th but not for Black Monday. These findings support the hypotheses of a big negative event producing runs of negative returns in the first case, and of the burst of a worldwide stock market bubble in the second example. JEL classification: C12; C15; C22; C51 Keywords and Phrases: asymmetries, crises, extreme values, hypothesis testing, leverage effect, nonlinearities, threshold models

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This paper examines the effects of the current financial crisis on the correlations of four international banking stocks. We find that in the beginning of the crisis banks generally show a transition to a higher correlation followed by a dramatic decline towards the end of 2008. These findings are consistent with both traditional contagion theory and the more recent network theory of contagion. JEL classifications: C51; G15 Keywords: Financial Crises; Contagion; Interbank Markets.

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L'objectiu d'aquest projecte és fer l'anàlisi i el disseny d'un sistema informàtic que gestioni de manera integral la facturació i els estocs de l'empresa García Escalera SL.

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El projecte escollit és la Gestió de Material d'Emergències amb la finalitat de gestionar l'aprovisionament de les diferents unitats que formen una organització en estructura jeràrquica de bombers, aquesta gestió permet portar un control individualitzat del consum de cada unitat i també pot oferir la informació sobre els estocs per ajudar a la presa de decisions davant una emergència.

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El projecte consisteix en la creació d'una botiga virtual de venda a l'engròs d'articles de joieria. Es tracta de dues aplicacions web: d'una banda una botiga virtual, i per un altre un administrador del site, des del qual s'administren els continguts, usuaris, etc, i a més altres aspectes importants dintre del negoci, com són la preparació de comandes, control d'estocs, etc.

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El present treball consisteix en un sistema per a una empresa de producció i distribució de productes làctics basat en l'anàlisi i disseny amb les noves tecnologies. L'aplicació, que es dirà Control d'Inventaris, durà a terme la gestió del procés de revisió d'inventaris en magatzems registrant l'entrada de productes per a l'elaboració i la producció dels diferents productes. També realitzarà la gestió de reserves de comandes per a la seva cartera de clients.

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Alguns dels grans fabricants del sector de les masses congelades fan servir robots per a l'emmagatzematge, servei i gestió dels productes de les cambres de congelació. Aquests robots només emmagatzemen i serveixen palets de caixes d'un mateix tipus de producte; així, doncs, només són útils quan el client és un gran consumidor, com un distribuïdor o una delegació, però no un petit comerç, com un restaurant o una fleca, els quals també són clients potencials del fabricant. Per tant, el problema es planteja en el moment de servir els clients que tenen problemes d'emmagatzematge, els quals es veuen obligats a fer comandes de diversos productes, que, a més, en total no fan ni de bon tros un palet sencer. A partir d'aquí la idea és dissenyar un sistema, emprant la tècnica de l'orientació a objectes (O-O), que gestioni un conjunt de robots que, a més d'emmagatzemar i gestionar una cambra de congelació, siguin capaços de servir les comandes fent una selecció de caixes de productes concrets, és a dir, les que sol·licita el client que ha fet la comanda per caixes i no per palets. Per qüestions d'organització i d'estocs, aquests robots han de ser independents dels altres, és a dir, han de treballar en una cambra independent de la dels robots que treballen per palets (actualment aquesta feina la fan treballadors dins una cambra independent de la dels robots).

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Este trabajo de final de carrera tiene como objetivo el diseño e implementación de un simulador de bolsa online donde los usuarios puedan realizar acciones de compra-venta de valores del mercado IBEX 35. Los beneficios obtenidos por cada usuario pasan a un listado de puntuaciones el cual mostrará qué usuarios han gestionado mejor sus inversiones.

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Aquest treball final de carrera es basa en l'anàlisi, disseny i implementació d'una aplicació pel control d'estocs. FrigoDroid és una aplicació orientada utilitzar-se en un frigorífic, tot i que pot controlar qualsevol tipus de col·lecció d'objectes. El punt fort d'aquest projecte és que es basa en la practicitat de la lectura de codis de barres com a forma d'entrada dels ítems inventariats.

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Quantitative or algorithmic trading is the automatization of investments decisions obeying a fixed or dynamic sets of rules to determine trading orders. It has increasingly made its way up to 70% of the trading volume of one of the biggest financial markets such as the New York Stock Exchange (NYSE). However, there is not a signi cant amount of academic literature devoted to it due to the private nature of investment banks and hedge funds. This projects aims to review the literature and discuss the models available in a subject that publications are scarce and infrequently. We review the basic and fundamental mathematical concepts needed for modeling financial markets such as: stochastic processes, stochastic integration and basic models for prices and spreads dynamics necessary for building quantitative strategies. We also contrast these models with real market data with minutely sampling frequency from the Dow Jones Industrial Average (DJIA). Quantitative strategies try to exploit two types of behavior: trend following or mean reversion. The former is grouped in the so-called technical models and the later in the so-called pairs trading. Technical models have been discarded by financial theoreticians but we show that they can be properly cast into a well defined scientific predictor if the signal generated by them pass the test of being a Markov time. That is, we can tell if the signal has occurred or not by examining the information up to the current time; or more technically, if the event is F_t-measurable. On the other hand the concept of pairs trading or market neutral strategy is fairly simple. However it can be cast in a variety of mathematical models ranging from a method based on a simple euclidean distance, in a co-integration framework or involving stochastic differential equations such as the well-known Ornstein-Uhlenbeck mean reversal ODE and its variations. A model for forecasting any economic or financial magnitude could be properly defined with scientific rigor but it could also lack of any economical value and be considered useless from a practical point of view. This is why this project could not be complete without a backtesting of the mentioned strategies. Conducting a useful and realistic backtesting is by no means a trivial exercise since the \laws" that govern financial markets are constantly evolving in time. This is the reason because we make emphasis in the calibration process of the strategies' parameters to adapt the given market conditions. We find out that the parameters from technical models are more volatile than their counterpart form market neutral strategies and calibration must be done in a high-frequency sampling manner to constantly track the currently market situation. As a whole, the goal of this project is to provide an overview of a quantitative approach to investment reviewing basic strategies and illustrating them by means of a back-testing with real financial market data. The sources of the data used in this project are Bloomberg for intraday time series and Yahoo! for daily prices. All numeric computations and graphics used and shown in this project were implemented in MATLAB^R scratch from scratch as a part of this thesis. No other mathematical or statistical software was used.

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The present paper is aimed at identifying what are the effects of the Point System of Selection of immigrants in Quebec. I defend that the distribution of points results in a different composition of immigrant stocks in terms of origin mix and not in terms of labour skills. To do so, I carry out a longitudinal descriptive analysis on the national composition of immigrants in Quebec and two other significant provinces (Ontario and British Columbia), as well as an analysis of the distribution of points in Quebec and in the rest of Canada.

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Capital flows to developing countries are small and are mostly take the form of loans rather than direct foreign investment. We build a simple model of North-South capital flows that highlights the interplay between diminishing returns, production risk and sovereign risk. This model generates a set of country portfolios and a world distribution of capital stocks that resemble those in the data.