Aldridge / Krawciw | Real-Time Risk | Buch | 978-1-119-31896-5 | sack.de

Buch, Englisch, 224 Seiten, Format (B × H): 157 mm x 235 mm, Gewicht: 487 g

Aldridge / Krawciw

Real-Time Risk

What Investors Should Know about Fintech, High-Frequency Trading, and Flash Crashes

Buch, Englisch, 224 Seiten, Format (B × H): 157 mm x 235 mm, Gewicht: 487 g

ISBN: 978-1-119-31896-5
Verlag: Turner Publishing Company


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-understood topics, and expert guidance helps investors protect themselves from new threats. The discussion dissects FinTech innovation to highlight the ongoing disruption, and to establish a toolkit of approaches for analyzing flash crashes, aggressive high frequency trading, and other specific aspects of the market.

Today's investors face an environment in which computers and infrastructure merge, regulations allow dozens of exchanges to coexist, and globalized business facilitates round-the-clock deals. This book shows you how to navigate today's investing environment safely and profitably, with the latest in risk-management thinking.
* Discover risk management that works within micro-second trading
* Understand the nature and impact of real-time risk, and how to protect yourself
* Learn why flash crashes happen, and how to mitigate damage in advance
* Examine the FinTech disruption to established business models and practices

When technology collided with investing, the boom created stratospheric amounts of data that allows us to plumb untapped depths and discover solutions that were unimaginable 20 years ago. Real-Time Risk describes these solutions, and provides practical guidance for today's savvy investor.
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Weitere Infos & Material


Preface

Chapter 1: Silicon Valley is Coming!

Everyone is into FinTech

The Millenials Are Coming

Social Media

Mobile

Cheaper and Faster Technology

Cloud Computing

Blockchain

Fast Analytics

FinTech

In the End, It's All About Real-Time Data Analytics

End of Chapter Questions

Chapter 2: This Ain't Your Grandma's Data

Data

The Risk of Data

Technology

Blockchain

What elements are common to all blockchains?

Conclusions

End of Chapter Questions

Chapter 3: Dark Pools, Exchanges and Market Structure

The New Market Hours

Where do my orders go?

Executing Large Orders

Conclusions

End of Chapter Questions

Chapter 4: Who Is Front-Running You?

Spoofing, Flaky Liquidity and HFT

Order-Based Negotiations

Conclusions

End of Chapter Questions

Chapter 5: High-Frequency Trading in Your Backyard

Implications of Aggressive HFT

Aggressive High-Frequency Trading in Equities

Aggressive HFT in U.S. Treasuries

Aggressive HFT in Commodities

Aggressive HFT in Foreign Exchange

Conclusions

End of Chapter Questions

Chapter 6: Flash Crashes

What Happens During Flash Crashes?

Detecting Flash-Crash Prone Market Conditions

Are HFTs responsible for flash crashes?

Smart Beta and Flash Crashes

Conclusions

End of Chapter Questions

Chapter 7: The Analysis of News

The Delivery of News

Pre-announcement risk

Data, Methodology and Hypotheses

Conclusions

End of Chapter Questions

Chapter 8: Social Media and the Internet of Things

Social Media and News

Timeliness of Data Analysis

What Are Other Investors Thinking? If You Knew, Would That Be A Great Benefit To You?

Internet Sentiment: How FinTech Decides How You Are Feeling with Natural-Language Processing

The Internet of Things

Tracking shipments, fleets and supplies in real time

Conclusions

End of Chapter Questions

Chapter 9: Market Volatility in the Age of Fintech

Too Much Data, Too Little Time - Welcome, Predictive Analytics

Is Volatility a Trend to just Live With?

Want to Lessen Volatility of Financial Markets? Express Your Thoughts Online!

The Market Microstructure Frontier Is the New Variable in Portfolio Optimization

Yes, You Can Predict T+1 Volatility

Market Microstructure as a Factor? You Bet.

Case Study: Improving Execution in Currencies with AbleMarkets Aggressive HFT Index

For Longer-Term Investors, Following Aggressive HFT Pays

Conclusions

End of Chapter Questions

Chapter 10: Why Venture Capitalists Are Betting on FinTech to Manage Risks

Opportunities for Disruption Are Present and They May Not Be What They Seem

Data and Analytics in FinTech

FinTech as an Asset Class

FinTech Success Factors

The Investment Case for FinTech

How do FinTech Firms Make Money?

Conclusions

End-of-Chapter Questions

About the Author

Index


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