AQR’s Momentum Funds. Case Study.

Krita Informatics Best Academic Writing Services
Krita Informatics Best Academic Writing Services

Case Study
Download the case (a pdf file + an Excel supplement) from Blackboard. A case
report should consist of 10 pages or less (1-inch margins, 12-point fonts, double-spacing), not
counting the cover sheet and appendices that may contain spreadsheets, tables, figures, and
references. Submit the softcopy of the final version of the case report to Blackboard and
VeriGuide before the deadline. When we discuss the case using Zoom, individual students
may screen-share some pages of their reports to earn some participation scores.
In general, when you write a case report, try to regard yourself as the decision maker
in the case. T hind- You should not use information
available today, and you should only use the information mentioned in the case or available at
that time (e.g., you may try to get the stock return data for the years before the case). Make
your own assumptions if needed. Because of the dynamics of business and incomplete
information available to decision makers, no single answer or recommendation is necessarily
the correct one. Your logics and presentation will matter.
I list below some questions that will guide you to write the report. Our case discussion
will generally follow the questions. Useful references for this case are Chapters 9 11, 13,
and 24 of the textbook.

  1. Compare the UMD factor to other specifications for momentum. Specifically, use the
    Spreadsheet Supplement for the case to calculate: (a) Decile Spread portfolio returns =
    (10) (1); (b) Quintile Spread portfolio returns = (10+9)/2 (1+2)/2; (c) UMD Spread
    portfolio returns = (10+9+8)/3 (1+2+3)/3; (d) Median Spread portfolio returns =
    /5 /5. Generate the average returns for each of these momentum
    specifications for every decade (1920s, 1930s, etc.). What do you observe?
  2. retail momentum strategy differ from the traditional momentum
    approaches? What were the expected returns and risks (using Sharpe measure, Treynor
    measure, etc. in Chapter 24)
    traditional momentum approaches? The advantageous correlation structure in Exhibit 5
    was seen as a key selling point of momentum. Is this the right way to think about
    If not, use some of the data in the Spreadsheet
    Supplement s returns to construct a more informative set of
    correlations. What types of investors might be interested in retail momentum
    funds? (Hints: Different performance measures serve different purposes. What is the
    meaning of a negative Treynor measure which is caused by a negative beta? How
    would you explain to different types of clients who already had different investments?)
    publishing them? If AQR decided to publish the indexes, when should AQR publish
    them? Why?
  3. Look at Exhibit 3; do you observe some differences between 1-factor alpha and 4-factor
    alpha? Explain and discuss the possible reasons for the differences between the 2 alphas
    based on the arguments of the efficient market school and the arguments of the inefficient
    market or behavioral finance school.
  4. Do you think that UMD will continue to have positive 1-factor (CAPM) alpha in the
    future? Explain and discuss, based on the arguments of the efficient market school and
    the arguments of the inefficient market school.
  5. Do you think Cliff Asness believed in the efficient market school or the inefficient market
    school? f AQR launched its momentum funds, how should it
    manage the funds (e.g., maximizing returns vs. minimizing tracking error)?
  6. If you were Cliff Asness, would you launch momentum funds? Would you
    launch none, 1, 2, or all of the three funds? Why?

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