549 resultados para Securities
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Letter from the estates department to the securities department regarding the estate of H.K. Woodruff consolidated trusts. The letter states that Mr. Woodruff was still the registered owner of 15,000 shares of Manor Gold Mines. This was signed by J.B. Watkinson, June 17, 1936.
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Paul Latimer, Associate Professor, Department of Business Law and Taxation. Faculty of Business and Economics, Monash University. Présentation dans le cadre du cycle de conférences organisé par le CRDP intitulé « Le droit à la sécurité ... la sécurité par le droit ».
Resumo:
La Securities and Exchange Commission vient d’étendre la possibilité pour les sociétés américaines cotées de refuser d’inclure dans les sollicitations de procuration les propositions des actionnaires concernant l’élection des administrateurs. Alors que ce thème fait débat et que l’autorité américaine ne s’était que peu prononcée, celle-ci propose une rédaction nouvelle de l’article 14a-8(i)(8) applicable depuis le 10 janvier 2008. Cette prise de position de la Securities and Exchange Commission offre l’opportunité d’analyser l’état de la gouvernance des entreprises américaines en matière d’élection de la direction et de constater que le pouvoir des actionnaires, bien que restreint par cette modification règlementaire, est revigoré en parallèle par le développement du « majority vote system ». La confrontation de ces deux orientations fait apparaître leur complémentarité sous-jacente et le fait que les actionnaires sont, au final, loin d’être dépourvus de moyens efficaces pour mettre en œuvre un activisme. C’est autour des mutations profondes que subit le paysage juridique entourant le pouvoir des actionnaires au moment de l’élection du conseil d’administration que cet écrit est orienté.
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La Securities and Exchange Commission a proposé au cours de l’été 2008 un guide permettant aux conseils d’administration des entreprises d’investissement d’appréhender plus complètement les devoirs qui s’imposent à eux dans la gestion – dans le meilleur intérêt des investisseurs – de leurs sociétés. Bien que n’entrainant pas de contraintes nouvelles, cette position de l’autorité boursière américaine rappelle non seulement les multiples obligations qui pèsent sur les administrateurs dans leur contrôle des conseillers en investissements, notamment en matière de « best execution » et de « soft dollars », mais encore que ce sont (encore et toujours) les conflits d’intérêts qui demeurent au centre des préoccupations.
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Les agences de notation de crédit ont permis la banalisation des véhicules de titrisation. Elles ont sous-estimé la probabilité que les émetteurs de certains instruments financiers complexes ne puissent pas honorer leurs dettes. Elles ont tardé à refléter la détérioration du marché de leurs notes. Les agences de notation ont donc été en partie responsables de la tempête que traversent les places financières mondiales et ont exposé les entreprises à un risque sérieux de défiance. Alors que les entreprises doivent à l’heure actuelle maîtriser de multiples risques, celles-ci ont été les premières victimes des professionnels de la notation. Pour apporter une réponse au risque de la notation, les régulateurs tentent de réagir. Par l’intermédiaire de leur autorité boursière, les Etats-Unis ont été les premiers à modifier le cadre règlementaire de l’activité de la notation. C’est ce cadre règlementaire, adopté au premier trimestre 2009, qui fait l’objet du présent papier.
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Près d’un quart de siècle que la Securities and Exchange Commission (SEC) ne s’était pas penchée sur le cas de l’information environnementale. C’est chose faite depuis le 8 février 2010. En effet, dans des lignes directrices rendues publiques au premier trimestre 2010, la SEC est venue offrir aux entreprises un outil pour appréhender les exigences qui pèsent sur elles en matière de divulgation concernant le changement climatique. Loin de constituer un nouveau cadre législatif ou de modifier celui existant, ce guide offre l’opportunité d’apporter de la clarté sur la manière dont le changement climatique s’intègre dans le dispositif réglementaire s’imposant aux entreprises nord-américaines. Après avoir présenté le dispositif juridique existant assurant une transparence des données relatives au changement climatique, la position de la SEC quant aux éléments à prendre en compte dans la divulgation des entreprises sera détaillée.
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Department of Applied Economics,Cochin University of Science and Technology
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We propose a nonparametric method for estimating derivative financial asset pricing formulae using learning networks. To demonstrate feasibility, we first simulate Black-Scholes option prices and show that learning networks can recover the Black-Scholes formula from a two-year training set of daily options prices, and that the resulting network formula can be used successfully to both price and delta-hedge options out-of-sample. For comparison, we estimate models using four popular methods: ordinary least squares, radial basis functions, multilayer perceptrons, and projection pursuit. To illustrate practical relevance, we also apply our approach to S&P 500 futures options data from 1987 to 1991.
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In 2007 futures contracts were introduced based upon the listed real estate market in Europe. Following their launch they have received increasing attention from property investors, however, few studies have considered the impact their introduction has had. This study considers two key elements. Firstly, a traditional Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model, the approach of Bessembinder & Seguin (1992) and the Gray’s (1996) Markov-switching-GARCH model are used to examine the impact of futures trading on the European real estate securities market. The results show that futures trading did not destabilize the underlying listed market. Importantly, the results also reveal that the introduction of a futures market has improved the speed and quality of information flowing to the spot market. Secondly, we assess the hedging effectiveness of the contracts using two alternative strategies (naïve and Ordinary Least Squares models). The empirical results also show that the contracts are effective hedging instruments, leading to a reduction in risk of 64 %.
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Real estate securities have a number of distinct characteristics that differentiate them from stocks generally. Key amongst them is that under-pinning the firms are both real as well as investment assets. The connections between the underlying macro-economy and listed real estate firms is therefore clearly demonstrated and of heightened importance. To consider the linkages with the underlying macro-economic fundamentals we extract the ‘low-frequency’ volatility component from aggregate volatility shocks in 11 international markets over the 1990-2014 period. This is achieved using Engle and Rangel’s (2008) Spline-Generalized Autoregressive Conditional Heteroskedasticity (Spline-GARCH) model. The estimated low-frequency volatility is then examined together with low-frequency macro data in a fixed-effect pooled regression framework. The analysis reveals that the low-frequency volatility of real estate securities has strong and positive association with most of the macroeconomic risk proxies examined. These include interest rates, inflation, GDP and foreign exchange rates.
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This paper seeks to increase the understanding of the performance implications for investors who choose to combine an unlisted real estate portfolio (in this case German Spezialfonds) with a (global) listed real estate element. We call this a “blended” approach to real estate allocations. For the avoidance of doubt, in this paper we are dealing purely with real estate equity (listed and unlisted) allocations, and do not incorporate real estate debt (listed or unlisted) or direct property into the process. A previous paper (Moss and Farrelly 2014) showed the benefits of the blended approach as it applied to UK Defined Contribution Pension Schemes. The catalyst for this paper has been the recent attention focused on German pension fund allocations, which have a relatively low (real estate) equity content, and a high bond content. We have used the MSCI Spezialfonds Index as a proxy for domestic German institutional real estate allocations, and the EPRA Global Developed Index as a proxy for a global listed real estate allocation. We also examine whether a rules based trading strategy, in this case Trend Following, can improve the risk adjusted returns above those of a simple buy and hold strategy for our sample period 2004-2015. Our findings are that by blending a 30% global listed portfolio with a 70% allocation (as opposed to a typical 100% weighting) to Spezialfonds, the real estate allocation returns increase from 2.88% p.a. to 5.42% pa. Volatility increases, but only to 6.53%., but there is a noticeable impact on maximum drawdown which increases to 19.4%. By using a Trend Following strategy raw returns are improved from 2.88% to 6.94% p.a. , The Sharpe Ratio increases from 1.05 to 1.49 and the Maximum Drawdown ratio is now only 1.83% compared to 19.4% using a buy and hold strategy . Finally, adding this (9%) real estate allocation to a mixed asset portfolio allocation typical for German pension funds there is an improvement in both the raw return (from 7.66% to 8.28%) and the Sharpe Ratio (from 0.91 to 0.98).
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Regression analysis has shown that recovery rates are determined by a variety of conditions at the time of default. These conditions can be broken into five major categories: (1) a security's seniority within the capital structure of the defaulting firm, (2) the type of default event, (3) firm-specific factors, (4) industry-specific factors, and (5) macroeconomic factors. Expectations of these inputs determine the expected recovery rate if default were to occur, thereby determining credit ratings and security prices. Although it is widely understood how recovery rate estimates influence credit rating assignments (the higher the expected recovery rate, the higher the assigned credit rating), no research, to the best of my knowledge, has investigated the reasons why higher rated securities recover more than lower rated securities in the event of default. Specifically, this paper will empirically investigate why securities originally rated investment grade, fallen angels, recover more than securities originally rated high yield in the event of default.
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We report the results of an exploratory data analysis of the Brazilian securities lending market. The analysis is performed over the full historical data set of each individual loan offer and loan contract negotiated between January 2007 and August 2013. We give a quantitative description of volume and loan fee trends and fee dependence on asset characteristics. We also unveil new stylized facts specific to the Brazilian market on market access asymmetries between different types of investors. The emerging picture is that the Brazilian securities lending market is a complex environment with specific frictions and strong asymmetries among players. In particular, we describe a tax arbitrage operation performed by domestic mutual funds which generates a significant distortion in the data. In one such event, we estimate additional aggregate profits of 24.25 million Reais (around 10 million Dollars).