812 research outputs found

    Spartan Daily September 19, 2018

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    Volume 151, Issue 13https://scholarworks.sjsu.edu/spartan_daily_2018/1055/thumbnail.jp

    High Precision Rapid Convergence of Asian Options

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    We show various methods that increase the precision and convergence speed of simulated stochastic processes. We demonstrate our precision and speed by using an example from the finance world, namely that of an Asian Option. An Asian Option is a path dependent pricing mechanism that is normally priced using Monte Carlo methods, it can be thought of as a path dependent diffusion equation. We show that the precision of the simulations is increased by 70% using Control Variates (derived by approximating the true mean from an analytic closed form solution). Using sequential Monte Carlo and parallel computing across a GPU (CUDA) increases convergence speed

    Dividend Policy in a Frontier Market and Sector Equity Traded Funds in the United States

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    In chapter 1, we examine the nature and scale of the relationship between returns on sector Equity Traded Funds (ETFs) and their volatility. We discuss the source and direction of the effect between returns and risk and whether behavioral biases are prominent among sector ETFs. The study has implications for financial sector practitioners and investors, as it provides more information about the risk in sector ETF and whether that risk differs from that of other investment instruments. To this end, we test three hypotheses based on the relevant literature on volatility and returns: the leverage effect hypothesis, feedback hypothesis, and behavioral biases in assets pricing. We employ two measures of volatility in this chapter; specifically, we use the GARCH (1, 1) model and the Range-based autoregressive model. Chapter 2 presents an examination of the factors that affect payout policy in a frontier market. MSCI classifies the Saudi stock exchange as a large frontier market and proposes to be reclassified as an emerging market by next year. The Saudi market is characterized by the high governmental influence and dominance of individual traders on daily transactions. By studying the 12-year panel data, we assess the effect government, board characteristics, social norms and major shareholder on Saudi firms’ decision to distribute dividends. The government presence and investor taste, especially for Islamic-compliant firms, are discussed. This chapter provides valuable information for investors and practitioners by identifying the factors that should be considered when making finance and investment decisions in frontier markets

    Dividend Policy in a Frontier Market and Sector Equity Traded Funds in the United States

    Get PDF
    In chapter 1, we examine the nature and scale of the relationship between returns on sector Equity Traded Funds (ETFs) and their volatility. We discuss the source and direction of the effect between returns and risk and whether behavioral biases are prominent among sector ETFs. The study has implications for financial sector practitioners and investors, as it provides more information about the risk in sector ETF and whether that risk differs from that of other investment instruments. To this end, we test three hypotheses based on the relevant literature on volatility and returns: the leverage effect hypothesis, feedback hypothesis, and behavioral biases in assets pricing. We employ two measures of volatility in this chapter; specifically, we use the GARCH (1, 1) model and the Range-based autoregressive model. Chapter 2 presents an examination of the factors that affect payout policy in a frontier market. MSCI classifies the Saudi stock exchange as a large frontier market and proposes to be reclassified as an emerging market by next year. The Saudi market is characterized by the high governmental influence and dominance of individual traders on daily transactions. By studying the 12-year panel data, we assess the effect government, board characteristics, social norms and major shareholder on Saudi firms’ decision to distribute dividends. The government presence and investor taste, especially for Islamic-compliant firms, are discussed. This chapter provides valuable information for investors and practitioners by identifying the factors that should be considered when making finance and investment decisions in frontier markets

    Early Evaluation of Mobile Applications’ Resource Consumption and Operating Costs

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    The explosive growth of the mobile application market in recent years has led to a large concomitant mobile software industry whose components are, in many cases, startups and small-size software providers. The success of these applications and the firms behind them depends on a subtle balance between different dimensions mainly affected by their architectural design, such as user satisfaction, resource consumption, operating costs, and timing. The present communication describes a framework with a specific set of practices for identifying the boundaries of different architectural designs —in this article we apply it to estimate both the smartphone’s resource consumption and the operating costs in the cloud— and thus help in the architectural decision-making process. This will enable mobile software developers to predict at early stages which architectural design best suits their business model in accordance with the number of users and the expected use of the application and even provide an advance alert of when architectural choices will need to be reviewed, obviating the need for costly architectural re-design in further phasesMinisterio de Ciencia, Innovación y Universidades RTI2018-094591-B-I00Ministerio de Ciencia, Innovación y Universidades PGC2018-094905-B-I00Junta de Andalucía APOLO (US-1264651)Ministerio de Ciencia e Innovación HORATIO (RTI2018-101204–B–C21)Ministerio de Ciencia, Innovación y Universidades RED2018-102654-TInterreg V-A España-Portugal (POCTEP) 0499-4IE-PLUS-4-EJunta de Andalucía UMA18-FEDERJA-180Junta de Extremadura GR18112Junta de Extremadura IB1803

    An engineering approach to improving hospital supply chains

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    Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2008.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Includes bibliographical references (leaves 130-132).This thesis explores supply chain management practices that have been implemented, and have improved supply chains in industries outside of healthcare. The presented supply chain practices have been selected because they have the potential to improve efficiency, reduce costs and improve patient safety within hospitals. Due to the diverse nature of hospitals and a unique product profile, there is no "one size fits all" supply chain solution that can be implemented. Therefore, product specific characteristics are discussed that can be used by hospitals in order to develop segmentation policies. Supply chain best practices from outside of the healthcare industry are presented for each category of segmented products. The culmination of this thesis is the presentation of a supply chain that will enable the hospital to significantly reduce inventory storage space, on hand inventory value, and time spent by nurses managing inventory. The proposed supply chain model is patient specific and involves the delivery of items from an offsite warehouse directly to the patient's bedside. In order to successfully implement a new supply chain solution in a hospital setting, change management is a critical part of the process. Methods are presented that have resulted in successful implementations of complex systems within hospitals. Three areas must be considered when managing change in this type of setting, the healthcare environment, the hospital's internal management and operational aspects of the hospital supply chain. Using simulation models, we show that implementation of the proposed supply chain for appropriately segmented products will result in significant supply chain cost savings and boost the revenue.by Scott Hsiang-Jen Cheng and Graham J. Whittemore.M.Eng.in Logistic
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