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Big Data Science in Finance
Explains the mathematics, theory, and methods of Big Data as applied to finance and investing Data science has fundamentally changed Wall Street—applied mathematics and software code are increasingly driving finance and investment-decision tools. Big Data Science in Finance examines the mathematics, theory, and practical use of the revolutionary techniques that are transforming the industry. Designed for mathematically-advanced students and discerning financial practitioners alike, this energizing book presents new, cutting-edge content based on world-class research taught in the leading Financial Mathematics and Engineering programs in the world. Marco Avellaneda, a leader in quantitative...
High-Frequency Trading
A hands-on guide to the fast and ever-changing world of high-frequency, algorithmic trading Financial markets are undergoing rapid innovation due to the continuing proliferation of computer power and algorithms. These developments have created a new investment discipline called high-frequency trading. This book covers all aspects of high-frequency trading, from the business case and formulation of ideas through the development of trading systems to application of capital and subsequent performance evaluation. It also includes numerous quantitative trading strategies, with market microstructure, event arbitrage, and deviations arbitrage discussed in great detail. Contains the tools and techniques needed for building a high-frequency trading system Details the post-trade analysis process, including key performance benchmarks and trade quality evaluation Written by well-known industry professional Irene Aldridge Interest in high-frequency trading has exploded over the past year. This book has what you need to gain a better understanding of how it works and what it takes to apply this approach to your trading endeavors.
High-Frequency Trading
A fully revised second edition of the best guide to high-frequency trading High-frequency trading is a difficult, but profitable, endeavor that can generate stable profits in various market conditions. But solid footing in both the theory and practice of this discipline are essential to success. Whether you're an institutional investor seeking a better understanding of high-frequency operations or an individual investor looking for a new way to trade, this book has what you need to make the most of your time in today's dynamic markets. Building on the success of the original edition, the Second Edition of High-Frequency Trading incorporates the latest research and questions that have come to...
Searching for High-Frequency Trading Opportunities
Praise for High-Frequency Trading "A well thought out, practical guide covering all aspects of high-frequency trading and of systematic trading in general. I recommend this book highly." Igor Tulchinsky, CEO, WorldQuant, LLC "For traditional fundamental and technical analysts, Irene Aldridge's book has the effect a first read of quantum physics would have had on traditional Newtonian physicists: eye-opening, challenging, and enlightening." Neal M. Epstein, CFA, Managing Director, Research & Product Management, Proctor Investment Managers LLC Interest in high-frequency trading continues to grow, yet little has been published to help investors understand and implement high-frequency trading sy...
High-Frequency Trading
A fully revised second edition of the best guide to high-frequency trading High-frequency trading is a difficult, but profitable, endeavor that can generate stable profits in various market conditions. But solid footing in both the theory and practice of this discipline are essential to success. Whether you're an institutional investor seeking a better understanding of high-frequency operations or an individual investor looking for a new way to trade, this book has what you need to make the most of your time in today's dynamic markets. Building on the success of the original edition, the Second Edition of High-Frequency Trading incorporates the latest research and questions that have come to...
Real-Time Risk
Risk management solutions for today's high-speed investing environment Real-Time Risk is the first book to show regular, institutional, and quantitative investors how to navigate intraday threats and stay on-course. The FinTech revolution has brought massive changes to the way investing is done. Trading happens in microsecond time frames, and while risks are emerging faster and in greater volume than ever before, traditional risk management approaches are too slow to be relevant. This book describes market microstructure and modern risks, and presents a new way of thinking about risk management in today's high-speed world. Accessible, straightforward explanations shed light on little-underst...
Threat Finance
Criminal and terrorist organisations are increasingly turning to white collar crime such as fraud, e-crime, bribery, data and identity theft, in addition to more violent activities involving kidnap and ransom, narcotics and arms trafficking, to fund their activities and, in some cases pursue their cause. The choice of victims is global and indiscriminate. The modus operandi is continually mutating and increasing in sophistication; taking advantage of weaknesses in the system whether they be technological, legal or political. Countering these sources of threat finance is a shared challenge for governments, the military, NGOs, financial institutions and other businesses that may be targeted. S...
An Introduction to Algorithmic Trading
Interest in algorithmic trading is growing massively – it’s cheaper, faster and better to control than standard trading, it enables you to ‘pre-think’ the market, executing complex math in real time and take the required decisions based on the strategy defined. We are no longer limited by human ‘bandwidth’. The cost alone (estimated at 6 cents per share manual, 1 cent per share algorithmic) is a sufficient driver to power the growth of the industry. According to consultant firm, Aite Group LLC, high frequency trading firms alone account for 73% of all US equity trading volume, despite only representing approximately 2% of the total firms operating in the US markets. Algorithmic t...
Equity Valuation and Portfolio Management
A detailed look at equity valuation and portfolio management Equity valuation is a method of valuing stock prices using fundamental analysis to determine the worth of the business and discover investment opportunities. In Equity Valuation and Portfolio Management Frank J. Fabozzi and Harry M. Markowitz explain the process of equity valuation, provide the necessary mathematical background, and discuss classic and new portfolio strategies for investment managers. Divided into two comprehensive parts, this reliable resource focuses on valuation and portfolio strategies related to equities. Discusses both fundamental and new techniques for valuation and strategies Fabozzi and Markowitz are experts in the fields of investment management and economics Includes end of chapter bullet point summaries, key chapter take-aways, and study questions Filled with in-depth insights and practical advice, Equity Valuation and Portfolio Management will put you in a better position to excel at this challenging endeavor.
Summary of Irene Aldridge & Marco Avellaneda's Big Data Science in Finance
Please note: This is a companion version & not the original book. Sample Book Insights: #1 Radio-Frequency Identification, or RFID, chips are embedded in almost every product you can buy, and are used to collect data about your shopping preferences, habits, and lifestyle. #2 Big Data is not just affecting financial organizations, but all corporations. The amount of data generated by financial institutions is at a record-setting number, and yet few portfolio managers have the skills to process it. #3 Big Data Finance is not just opening doors to a select group of data scientists, but also an entire industry that is developing new approaches to harness these data sets and incorporate them into mainstream investment management. #4 The demand for Big Data scientists is growing, as companies realize the importance of efficient Big Data operations. According to Business Insider, US bank J. P. Morgan has spent nearly $10 billion dollars just in 2016 on new initiatives that include Big Data science.
