Quantitative Portfolio Management: The Art and Science of Statistical Arbitrage

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Quantitative Portfolio Management: The Art and Science of Statistical Arbitrage

Quantitative Portfolio Management: The Art and Science of Statistical Arbitrage

RRP: £42.00
Price: £21
£21 FREE Shipping

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Seldom do quantitative books clearly describe their underlying philosophical assumptions to their modeling approach in such an accessible manner. Our focus is on important contributions that will help chief investment officers, portfolio managers and analysts, trustees, and consultants make the best decisions. This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy.

Koijen | The University of Chicago Booth School of Business Ralph Koijen | The University of Chicago Booth School of Business

Work on portfolio management, risk management, asset pricing and hedging, providing the necessary quantitative background to leaders and innovators in this growing field. A potentially material aspect of portfolio management relates to how your portfolio is shaped to minimize taxes in the long-term. On the technical side, there are a number of approaches and measures to help discern the risks and opportunities.This module introduces the Investment and Portfolio Management Specialization, which is made up of four courses. AI systems can analyze alternative data sources from social media and news sources to an investor's advantage. Quantitative investing could be a viable strategy for retail investors, but they would need excellent knowledge of quantitative methods, access to data sets, financial instruments to trade, and the financial means for the implementation and transaction costs involved.

Quantitative Portfolio Management (豆瓣) - 豆瓣读书 Quantitative Portfolio Management (豆瓣) - 豆瓣读书

Some common approaches to quantitative investment strategies include statistical arbitrage, factor investing, risk parity, machine learning, and artificial intelligence (AI). These strategies leverage mathematical models, statistical analyses, and computational algorithms to identify market opportunities and manage risks. After module 2, you will be able to describe fixed income securities, be familiar with their institutional features, and identify their cash flows.The good thing nowadays is that we have a vast amount of data, which gives you a much better comprehension of where things are going, at least for the short term. Understand the current trading environment such as algorithmic or high frequency trading, dark pools etc. In this and the next two modules, we cover the key institutional features of financial markets and instruments. Together with providing the seven tenets for QEPM, the authors explain in great detail how the tenets apply to their thought processes. Last, should an investor turn to a portfolio manager to manage their investments, this will incur a management fee.

Quantitative Portfolio Management, Graduate Certificate Quantitative Portfolio Management, Graduate Certificate

Some quantitative analysts may quibble with the composition of Chincarini and Kim’s lists, but the lists provide a good breakdown of the focal areas of quantitative methods and highlight the biases that systematic investing tries to minimize.Other Nobel Laureates who have been published in the JPM include Harry Markowitz, Robert Shiller, Robert Engle, Merton Miller, Daniel Kahneman, Robert Merton, and Franco Modigliani.



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