Andrew W. Lo

  1. Privacy-Preserving Methods for Sharing Financial Risk Exposures.

    Authors: Andrew W. Lo, Emmanuel A. Abbe, Amir E. Khandani
    Subjects: Risk Management
    Abstract

    Unlike other industries in which intellectual property is patentable, the
    financial industry relies on trade secrecy to protect its business processes
    and methods, which can obscure critical financial risk exposures from
    regulators and the public. We develop methods for sharing and aggregating such
    risk exposures that protect the privacy of all parties involved and without the
    need for a trusted third party.

  2. WARNING: Physics Envy May Be Hazardous To Your Wealth!.

    Authors: Andrew W. Lo, Mark T. Mueller
    Subjects: Risk Management
    Abstract

    The quantitative aspirations of economists and financial analysts have for
    many years been based on the belief that it should be possible to build models
    of economic systems - and financial markets in particular - that are as
    predictive as those in physics. While this perspective has led to a number of
    important breakthroughs in economics, "physics envy" has also created a false
    sense of mathematical precision in some cases. We speculate on the origins of
    physics envy, and then describe an alternate perspective of economic behavior
    based on a new taxonomy of uncertainty.

  3. A Computational View of Market Efficiency.

    Authors: Jasmina Hasanhodzic, Andrew W. Lo, Emanuele Viola
    Subjects: and Science, Computational Engineering, Finance
    Abstract

    We propose to study market efficiency from a computational viewpoint.
    Borrowing from theoretical computer science, we define a market to be
    \emph{efficient with respect to resources $S$} (e.g., time, memory) if no
    strategy using resources $S$ can make a profit. As a first step, we consider
    memory-$m$ strategies whose action at time $t$ depends only on the $m$ previous
    observations at times $t-m,...,t-1$. We introduce and study a simple model of
    market evolution, where strategies impact the market by their decision to buy
    or sell.

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