1,941 research outputs found

    3 Hired by Goldman Sachs

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    Congratulations to three Huntsman students who recently received full-time offers as financial analysts in the highly sought after Investment Banking Division of Goldman Sachs. The Huntsman School of Business placed three students in the Investment Banking Division in the GS Salt Lake City office. The only other school that placed more than one student with GS-SLC was Denver University, with the placement of two students.https://digitalcommons.usu.edu/huntsman_news/1258/thumbnail.jp

    Goldman Sachs Follow Up Exhibit GS MBS

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    Equity research - The Goldman Sachs Group, Inc.

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    Mestrado em FinançasEste relatório contém uma avaliação do grupo financeiro The Goldman Sachs Group, Inc., elaborado como Projeto Final do Mestrado em Finanças do ISEG - Universidade de Lisboa. O estudo segue o formato recomendado pelo CFA Institute (Pinto, Henry, Robinson, e Stowe, 2010). Para efetuar a avaliação, foi considerada informação pública a 5 de outubro de 2017, recolhida de diversas fontes, tais como relatórios anuais ou Bloomberg L.P. Consequentemente, eventos ocorridos após esta data não são considerados nesta análise. As razões que levaram à escolha da Goldman Sachs foram essencialmente duas: devido à complexidade que empresas financeiras apresentam, é um maior desafio quando comparando com empresas industriais (como realizado durante o mestrado); e é, na opinião do autor, uma das empresas mais interessantes a nível mundial por toda a sua história, controvérsias e poder nos principais mercados financeiros. Para obter uma recomendação, foi utilizado um modelo de Excesso de Retorno para valorizar o capital próprio do banco e uma avaliação por múltiplos para complementar o modelo principal. Com um preço-alvo de 230.25epotencialdedesvalorizac\ca~ode5.0 230.25 e potencial de desvalorização de -5.0% a partir do preço atual de 242.55, a nossa recomendação final para The Goldman Sachs Group, Inc. (NYSE: GS) é "Reduzir".This report encompasses a valuation of The Goldman Sachs Group, Inc. elaborated as a Master's of Finance Final Work Project at ISEG - University of Lisbon. The study follows the format recommended by the CFA Institute (Pinto, Henry, Robinson, and Stowe, 2010). To conduct this research, we considered public available data on October 5th, 2017, collected from various sources, such as company reports and Bloomberg L.P., among others. Therefore, events after this date are not reflected in this analysis. We decided to conduct a valuation of Goldman Sachs for two main reasons, them being: conducting this type of work on financial service firms represents, in my opinion, a greater challenge compared to industrial companies (as it was previously performed during the master degree); the second reason is because, in my opinion, The Goldman Sachs Group, Inc. is one of the most interesting companies in the world for all its history, controversies and power in the major financial markets. To reach a recommendation, we used an Excess Return model to value the equity of the firm, as well as a multiples analysis to complement the previous model. With a price target of 230.25forYE18andadownsidepotentialof5.0 230.25 for YE18 and a downside potential of -5.0% from the current price of 242.55, our final recommendation for The Goldman Sachs Group, Inc. (NYSE: GS) is "Reduce".info:eu-repo/semantics/publishedVersio

    Equity research - The Goldman Sachs Group, Inc.

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    Mestrado em FinançasEste relatório contém uma avaliação do grupo financeiro The Goldman Sachs Group, Inc., elaborado como Projeto Final do Mestrado em Finanças do ISEG - Universidade de Lisboa. O estudo segue o formato recomendado pelo CFA Institute (Pinto, Henry, Robinson, e Stowe, 2010). Para efetuar a avaliação, foi considerada informação pública a 5 de outubro de 2017, recolhida de diversas fontes, tais como relatórios anuais ou Bloomberg L.P. Consequentemente, eventos ocorridos após esta data não são considerados nesta análise. As razões que levaram à escolha da Goldman Sachs foram essencialmente duas: devido à complexidade que empresas financeiras apresentam, é um maior desafio quando comparando com empresas industriais (como realizado durante o mestrado); e é, na opinião do autor, uma das empresas mais interessantes a nível mundial por toda a sua história, controvérsias e poder nos principais mercados financeiros. Para obter uma recomendação, foi utilizado um modelo de Excesso de Retorno para valorizar o capital próprio do banco e uma avaliação por múltiplos para complementar o modelo principal. Com um preço-alvo de 230.25epotencialdedesvalorizac\ca~ode5.0 230.25 e potencial de desvalorização de -5.0% a partir do preço atual de 242.55, a nossa recomendação final para The Goldman Sachs Group, Inc. (NYSE: GS) é "Reduzir".This report encompasses a valuation of The Goldman Sachs Group, Inc. elaborated as a Master's of Finance Final Work Project at ISEG - University of Lisbon. The study follows the format recommended by the CFA Institute (Pinto, Henry, Robinson, and Stowe, 2010). To conduct this research, we considered public available data on October 5th, 2017, collected from various sources, such as company reports and Bloomberg L.P., among others. Therefore, events after this date are not reflected in this analysis. We decided to conduct a valuation of Goldman Sachs for two main reasons, them being: conducting this type of work on financial service firms represents, in my opinion, a greater challenge compared to industrial companies (as it was previously performed during the master degree); the second reason is because, in my opinion, The Goldman Sachs Group, Inc. is one of the most interesting companies in the world for all its history, controversies and power in the major financial markets. To reach a recommendation, we used an Excess Return model to value the equity of the firm, as well as a multiples analysis to complement the previous model. With a price target of 230.25forYE18andadownsidepotentialof5.0 230.25 for YE18 and a downside potential of -5.0% from the current price of 242.55, our final recommendation for The Goldman Sachs Group, Inc. (NYSE: GS) is "Reduce".info:eu-repo/semantics/publishedVersio

    Equity research - The Goldman Sachs Group, Inc.

    No full text
    Mestrado em FinançasEste relatório contém uma avaliação do grupo financeiro The Goldman Sachs Group, Inc., elaborado como Projeto Final do Mestrado em Finanças do ISEG - Universidade de Lisboa. O estudo segue o formato recomendado pelo CFA Institute (Pinto, Henry, Robinson, e Stowe, 2010). Para efetuar a avaliação, foi considerada informação pública a 5 de outubro de 2017, recolhida de diversas fontes, tais como relatórios anuais ou Bloomberg L.P. Consequentemente, eventos ocorridos após esta data não são considerados nesta análise. As razões que levaram à escolha da Goldman Sachs foram essencialmente duas: devido à complexidade que empresas financeiras apresentam, é um maior desafio quando comparando com empresas industriais (como realizado durante o mestrado); e é, na opinião do autor, uma das empresas mais interessantes a nível mundial por toda a sua história, controvérsias e poder nos principais mercados financeiros. Para obter uma recomendação, foi utilizado um modelo de Excesso de Retorno para valorizar o capital próprio do banco e uma avaliação por múltiplos para complementar o modelo principal. Com um preço-alvo de 230.25epotencialdedesvalorizac\ca~ode5.0 230.25 e potencial de desvalorização de -5.0% a partir do preço atual de 242.55, a nossa recomendação final para The Goldman Sachs Group, Inc. (NYSE: GS) é "Reduzir".This report encompasses a valuation of The Goldman Sachs Group, Inc. elaborated as a Master's of Finance Final Work Project at ISEG - University of Lisbon. The study follows the format recommended by the CFA Institute (Pinto, Henry, Robinson, and Stowe, 2010). To conduct this research, we considered public available data on October 5th, 2017, collected from various sources, such as company reports and Bloomberg L.P., among others. Therefore, events after this date are not reflected in this analysis. We decided to conduct a valuation of Goldman Sachs for two main reasons, them being: conducting this type of work on financial service firms represents, in my opinion, a greater challenge compared to industrial companies (as it was previously performed during the master degree); the second reason is because, in my opinion, The Goldman Sachs Group, Inc. is one of the most interesting companies in the world for all its history, controversies and power in the major financial markets. To reach a recommendation, we used an Excess Return model to value the equity of the firm, as well as a multiples analysis to complement the previous model. With a price target of 230.25forYE18andadownsidepotentialof5.0 230.25 for YE18 and a downside potential of -5.0% from the current price of 242.55, our final recommendation for The Goldman Sachs Group, Inc. (NYSE: GS) is "Reduce".info:eu-repo/semantics/publishedVersio

    Assessing Early Warning Systems: How Have They Worked in Practice?

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    Since 1999, IMF staff have been tracking several early warning system (EWS) models of currency crisis. The results have been mixed. One of the long-horizon models has performed well relative to pure guesswork and to available non-model-based forecasts, such as agency ratings and private analysts' currency crisis risk scores. The data do not speak clearly on the other long-horizon EWS model. The two short-horizon private sector models generally performed poorly. Copyright 2005, International Monetary Fund

    CHANGING THE PATTERNS OF THE GLOBAL ECONOMY – THE EMERGENCE AND EVOLUTION OF THE BRIC COUNTRIES

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    The world is (permanently) changing – and from time to time major shifts occur and redefine its patterns of evolution. The global economy within it gets new leading actors and defining features, new power balance and architecture. This is inevitable in order to develop. Sometime of these shifts seem to be the result of a scientifically grounded, well defined and consciously applied strategy, and sometime it seems to be the result of some kind of a Brownian movement (something like: “it just happened”). In this paper we analyze the fascinating “case” of the BRIC countries (Brazil, Russia, India and China). Having some (a few) common features, but actually being very different (in most of the aspects), and in an absence of a unique mission, vision and development strategy, the four countries have started to be seen as an entity (given their previous evolution and based on forecasting studies) – not only able to change the patterns of the global economy, but, more than that, able to lead it in the (almost near) future (the year 2050). This very optimistic projection of Goldman Sachs obviously has (and still have) its critics, but the governments of the BRICs took it very seriously – by assuming the theory and organizing annual common meetings – the best of the validation! The impact of the global crisis (and recession) on the BRICs is a major challenge for them and the opinions also vary a lot in this aspect – from “BRICs didn’t experience the crisis yet” to “BRIC will offer the best models of recovery”; we just have to “wait and see”.BRIC countries, development, EU, crisis, models of development

    EBUS-GS and VBN for GGO lesions

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    Background: Endobronchial ultrasonography with guide sheath (EBUS-GS) could be useful for diagnosing ground-glass opacity (GGO) predominant-type lesions in the peripheral lung. Furthermore, several studies have reported that transbronchial biopsy using EBUS-GS and virtual bronchoscopic navigation (VBN) was safe and effective for diagnosing small peripheral lung lesions. Our objectives were to diagnose solitary peripheral GGO predominant-type lesions by transbronchial biopsy using EBUS-GS and VBN under radiographic fluoroscopic guidance, and to evaluate the clinical factors associated with diagnostic yield. Methods: The medical records of 169 patients with GGO predominant-type lesions who underwent transbronchial biopsy using EBUS-GS and VBN under radiographic fluoroscopic guidance were retrospectively reviewed. Results: Endobronchial ultrasonography images could be obtained for 156 (92%) of 169 GGO predominant-type lesions, and 116 (69%) were successfully diagnosed by this method (20 of 31 pure GGO lesions [65%]; 96 of 138 mixed GGO predominant-type lesions [70%]). The mean size of diagnosed lesions was significantly larger than that of nondiagnosed lesions (22 mm versus 18 mm, p < 0.01). Regarding diagnostic yield based on computed tomography sign, cases with presence of a bronchus leading directly to a lesion had significantly higher diagnostic yield than the other lesions (p < 0.01). Conclusions: The addition of VBN to EBUS-GS could be useful in clinical practice for diagnosing GGO predominant-type lesions in the peripheral lung

    Measuring the impact of the investment climate on total factor productivity : the cases of China and Brazil

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    This study measures the impact of investment climate factors on total factor productivity (TFP) of firms in Brazil and China. The analysis is conducted in two steps: first an econometric production function is estimated to produce a measure of TFP at the firm level. In the second step, variation in TFP across firms is statistically related to a indicators of the investment climate as well as firm characteristics. The results yield a number of insights about the factors underlying productivity. In both countries, and in a variety of industry groups, indicators of poor investment climate, especially delays in customs clearance and interruptions in utility services, have significant negative effects on TFP. Reducing customs clearance time by one day in China could increase TFP by 2-6 percent. Indicators such as email usage have positive effects on TFP. In the case of China, state-owned firms and firms located in the interior are shown to be much less productive than privately owned firms and firms located in the east. In Brazil, the results present an interesting contrast between the apparel industry and the electronics industry. In the apparel industry, older firms in competitive markets are more productive, while in the case of electronics, newer firms with higher market shares are more productive.Economic Theory&Research,Technology Industry,Water and Industry,ICT Policy and Strategies,Economic Growth

    Impacto de la inteligencia artificial en las finanzas de las empresas, caso ´´Goldman sachs´´

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    Desde hace algunos años, la idea de crear una inteligencia capaz de hacer nuestras veces ha sido un asunto importante en la tecnología y a través de los años, esta se ha mejorado a tal magnitud que se emplea para todo tipo de actividad financiera en los últimos años y justamente aquí es donde entra Goldman Sachs, una importante firma de inversionistas que abarca una gran parte de la bolsa de este país la cual empezó a implementar la inteligencia artificial con el fin de optimizar el trabajo que los trabajadores e inversionistas realizan al momento de tomar decisiones en sus finanzas, y es que la firma no solamente se ha encargado de implementar una IA, sino que también se ha unido a empresas que puedan mejorar está a fin de establecer una mayor optimización en su tares varias, reducir el tiempo de trabajo en el momento de tomar decisiones financieras, poner en marcha el trabajo informático para que este sea más eficiente que el capital humano y por ello, muchos autores, bancas de inversión, economistas, profesores e inversionistas se verán empapados del tema e incursionaran en el mismo y eso se ve sus aportes a la firma, sus opiniones, sus artículos, libros y datos que demuestran el efecto que la IA ha causado en Goldman Sachs desde su introducción a comienzos de los 2000. Por consiguiente, los resultados han sido a favor y el gasto en la misma, también, pero es directamente proporcional a como se mueven las finanzas en la firma y sobre todo su impacto a lo largo de los años mayormente en la actualidad, donde está, está alcanzando su mayor punto con la integración de la IA generativa, asi que Goldman Sachs no piensa dejar esto de lado.For some years now, the idea of creating an intelligence capable of doing our part has been an important issue in technology and over the years, it has been improved to such a magnitude that it is used for all types of financial activity in recent years. And this is precisely where Goldman Sachs comes in, an important investment firm that covers a large part of the stock market in this country, which began to implement artificial intelligence in order to optimize the work that workers and investors do. when making decisions regarding their finances, and the firm has not only been in charge of implementing AI, but has also joined forces with companies that can improve in order to establish greater optimization in its various tasks, reduce the working time at the time of making financial decisions, implement computer work so that it is more efficient than human capital and therefore, many authors, investment banks, economists, professors and investors will be immersed in the subject and will venture into in it and that is seen by his contributions to the firm, his opinions, his articles, books and data that demonstrate the effect that AI has had on Goldman Sachs since its introduction in the early 2000s. Consequently, the results have been in favor and the expense in it, too, but it is directly proportional to how the finances move in the firm and above all its impact over the years, mostly at present, where it is reaching its greatest point with the integration of generative AI, so Goldman Sachs does not plan to leave this asideRESUMEN___________________________________________________________________________________ 9ABSTRACT__________________________________________________________________________________ 10INTRODUCCIÓN__________________________________________________________________________ 111.1-Objetivo General:_____________________________________________________________________ 161.2-Objetivos Específicos:________________________________________________________________ 162 CAPITULO I____________________________________________________________________________ 172.1 Algoritmos y Gestión de activos_____________________________________________________ 182.2 Banca de Inversión (Investment Banking)________________________________________________ 202.5 Mercados Globales (Global Markets)_________________________________________________ 222.6 Gestión de Activos (Asset Management)_______________________________________________ 232.7 Gestión de Patrimonios (Wealth Management)_____________________________________ 232.8 Banca de Consumo (Consumer Banking)_____________________________________________ 243 CAPITULO II___________________________________________________________________________ 253.1-Aprendizaje Automático (Machine Liaoning)_________________________________________ 253.1.1 Modelos Predictivos de Comercio:_________________________________________________ 263.1.2-Gestión de Riesgos:_________________________________________________________________ 273.1.3-Detección de Fraudes:_________________________________________________________________ 273.2. Procesamiento del Lenguaje Natural (Natural Language Processing, NLP)_________ 283.2.1-Análisis de Sentimientos:___________________________________________________________ 293.2.2-Chatbots y Asistentes Virtuales:_____________________________________________________ 293.3 Redes Neuronales Artificiales_________________________________________________________ 293.3.1-Optimización de Portafolios: ____________________________________________________________293.3.2-Predicción de Resultados Financieros:_________________________________________________ 293.3.2-Predicción de Resultados Financieros:_____________________________________________ 293.4-Automatización de Procesos Robóticos (RPA)____________________________________________303.4.1-Automatización de Tareas Repetitivas:_____________________________________________ 303.4.2-Cumplimiento Regulatorio:________________________________________________________ 303.5-Inteligencia Artificial para la Investigación y el Desarrollo (I+D)______________________ 303.5.1-Innovación Continua:___________________________________________________________________ 303.5.2-Laboratorios de IA:______________________________________________________________________314 CAPITULO III____________________________________________________________________________ 364.1-Datos estadísticos____________________________________________________________________ 405 - CONCLUSIONES_______________________________________________________________________ 436- RECOMENDACIONES__________________________________________________________________ 457 BIBLIOGRAFÍA___________________________________________________________________________ 467.1 Artículos Académicos:________________________________________________________________ 507.1 Libros:_________________________________________________________________________________ 507.2 Autores Relevantes:___________________________________________________________________ 51PregradoAdministrador(a) en Finanzas y Negocios InternacionalesTrabajos de Investigación y/o Extensió
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