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Investment Analytics in the Dawn of Artificial Intelligence cover
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A class of highly mathematical algorithms works with three-dimensional (3D) data known as graphs. Our research challenge focuses on applying these algorithms to solve more complex problems with financial data, which tend to be in higher dimensions (easily over 100), based on probability distributions, with time subscripts and jumps. The 3D research analogy is to train a navigation algorithm when the way-finding coordinates and obstacles such as buildings change dynamically and are expressed in higher dimensions with jumps.

Our short title "ia≠ai" symbolizes how investment analytics is not a simplistic reapplication of artificial intelligence (AI) techniques proven in engineering. This book presents best-of-class sophisticated techniques available today to solve high dimensional problems with properties that go deeper than what is required to solve customary problems in engineering today.

Dr Bernard Lee is the Founder and CEO of HedgeSPA, which stands for Sophisticated Predictive Analytics for Hedge Funds and Institutions. Previously, he was a managing director in the Portfolio Management Group of BlackRock in New York City as well as a finance professor who has taught and guest-lectured at a number of top universities globally.

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Sample Chapter(s)
Preface
Chapter 12: Combining Upside with Black Swan Scenarios

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Contents:
  • Introduction
  • Navigation and Vocabulary
  • Construct Portfolios:
    • Understanding Risk
    • Objective Functions in Portfolio Construction
    • Risk and Return Attribution
    • Portfolio-Level Factor Analysis
    • A Hedging Use Case
  • Select Assets:
    • Alpha Selection Using Factors
    • Standard Derivative Instruments
  • Decide and Execute:
    • Rebalancing
    • Forward Scenarios and Historical Simulations
    • Combining Upside with Black Swan Scenarios
  • Deliver Reports:
    • Customary Back Office Reporting
    • Additional Reporting
    • Compliance Analysis
    • Data Integrity Validation
  • Deploy:
    • Deployment Best Practices
    • Implications of a Post-IA/AI Society
Readership: Professionals looking for a step-by-step "cookbook" on algorithms to build and deploy their own investment analytics processes; C-level executives at leading investment firms to technologists doing hands-on deployments.