(3 Hours)Provides an overview of all of the hedging markets and hedging instruments. Dr. ) used in data analytics. (4 Hours)Designed to develop the financial skills and logical thought processes necessary to understand and discuss financial policy decisions in a global economy. 1 Some slightly different definitions are the study of data and algorithms currently used in finance2 and the mathematics of computer programs that realize financial models or systems. Topics include analyzing and applying finance from the perspective of intrapreneurship as well as entrepreneurship.
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Prof. (4 Hours)Offers students an opportunity to prepare for rapid changes in the financial services world due to technological innovations and to understand how ML and AI tools are relevant in the financial services industry; to learn the basics of these tools, including machine learning; and to analyze the ethical considerations in the use of these tools in financial services. FINA 4516. Topics of interest include, but are not limited to, actuarial models, analysis of high-frequency financial data, Behavioural finance, carbon and green finance, Credit risk methods and models, dynamic optimization in finance, financial econometrics, forecasting of dynamical actuarial and financial phenomena, fund performance evaluation, insurance portfolio risk analysis, interest rate models, longevity risk, machine learning and soft-computing in finance, management in the insurance business, models and methods for financial time series analysis, models for financial derivatives, multivariate techniques for financial markets analysis, neural networks in insurance, optimization in insurance, pricing, probability in actuarial sciences, insurance and finance, real-world finance, risk management, solvency analysis, sovereign risk, static and dynamic portfolio selection and management, trading systems. Course description: Computational techniques for solving mathematical
problems arising in finance.
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Also covers many issues related to the venture capital industry, such as the limited partnership structure of the venture capital/private equity industry, venture capital term sheets and contracts, exit of portfolio article and international investments. Provides the ability to build unique valuation models to suit the particular investment alternative that students wish to scrutinize. , buyout/leveraged-buyout firms), but in less detail. Cira PernaProf. Seeks to train students to develop data analytics solutions using machine learning and deep learning models, allowing them to answer analytical questions that are encountered in the finance space. (1-4 Hours)Offers elective credit for courses taken at other academic institutions.
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(3 Hours)Develops financial, analytical, and communication skills necessary to develop and implement a financial strategy consistent with firm value creation in a dynamic environment. Enter the email address you signed up with and well email you a reset link. Introduces industry-grade credit analysis. May be repeated without limit.
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FINA 6337. Topics include capital budgeting; capital investment decisions; complex valuations; security issues; dividend policy; static and dynamic capital structure; real option analysis; restructuring; bankruptcy; corporate control and governance; and the legal, ethical, and regulatory environment of financial management. Financial Risk Management. Emphasizes written and oral communication skills. Assignment 5, in LaTeX format, postscript
format, or PDF format.
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Homework assignmentsAssignment 1, in LaTeX format, postscript
format, or PDF format. FINA 6211. Path dependent options. (3 Hours)Introduces the domestic and international financial system and the institutions look at these guys it. (3 Hours)Focuses on cash-flow oriented models of the valuation of the firm. Application
to pricing, hedging, and portfolio management.
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Covers the fundamentals of stock and bond valuation, as well as a brief review of macroeconomic concepts including the role of the Federal Reserve, growth, and inflation. 11 In the late 1970s and early 1980s, a group of young quantitative practitioners who became known as “rocket scientists” arrived on Wall Street and brought along personal computers. At the end of the course, the successful student should have a sound basic understanding of accounting and financial matters and the ability to understand business decisions in context and to evaluate the choices that management faces in the normal course of business development. (4 Hours)Studies how to understand and analyze data using a set of analytical tools in financial econometrics when applications such as Excel are not ideally suited for large data sets or when the analysis involves a series of iterative steps that need to be replicated.
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