Jonathan Treussard
Ph.D., Boston University, Department
of
Economics
Instructor, Boston University, School of Management, Finance
and Economics Department
Instructor, Massachusetts Institute of Technology, Sloan School of
Management, Economics,
Finance & Accounting Department
Curriculum Vitae
Contact
Information
Boston University
Department of Economics
270 Bay State Road
Boston, MA 02215
U.S.A.
Email: jtreussa@bu.edu
Phone: (857) 204 8005
BU School of Management Personal Page for Jonathan
Treussard
http://smgnet.bu.edu/mgmt_new/profiles/TreussardJonathan.html
Fields:
Financial Economics, Microeconomic Theory, and Econometrics.
Research
Interests: Life-Cycle
Finance Theory, Contingent Claims Analysis (Esp. American-Style
Derivatives), Numerical Methods for Finance Modeling.
Classes Taught: Instructor
for Undergraduate Investments (FE445) & Teaching Assistant for MBA
Investments (Zvi Bodie, FE823), MBA Advanced Topics in Investments (Zvi
Bodie, FE825), Doctoral Seminar in Finance Theory (Zvi Bodie, FE918),
MBA Options and Futures (Zvi Bodie, FE829), First-Year Doctoral
Microeconomics (Michael Manove, EC701, and Dilip Mookherjee, EC703).
References:
Zvi Bodie, zbodie@bu.edu, (617) 353 4160, Boston
University School of Management, 595 Commonwealth Avenue, Boston, MA
02215.
Laurence J. Kotlikoff, kotlikof@bu.edu,
(617) 353 4002,
Boston University
Department of Economics, 270 Bay State Road, Boston, MA 02215.
Francois Gourio, fgourio@bu.edu,
(617) 353 4534, Boston University
Department of Economics, 270 Bay State Road, Boston, MA 02215.
George Chacko, gchacko@ifltd.com,
(857) 928 1309, Integrated Finance
Limited, 245 Park Avenue, 44th floor, New York, NY 10167.
All Articles Posted on Social Science Research Network
(SSRN)
http://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=504640
Publications:
1. The
Theory of Optimal Life-Cycle Saving and Investing, with Zvi
Bodie and Paul Willen (CFA Future of Life-Cycle Saving and Investing
Conference Volume – Session 1, Webcast available at http://www.cfawebcasts.org/cpe/what.cfm?test_id=656).
Abstract: How much should a family save for retirement
and for the kids' college education? How much insurance should they
buy? How should they allocate their portfolio across different assets?
What should a company choose as the default asset allocation for a
mandatory retirement saving plan? We believe that the life-cycle model
developed by economists over the last fifty years provides guidance for
making such decisions. The theory teaches us to view financial assets
as vehicles for transferring resources across different times and
outcomes over the life cycle, and that perspective allows households
and planners to think about their decisions in a logical and rigorous
way. This paper lays out and illustrates the basic analytical framework
from the theory in nonmathematical terms, with the aim of providing
guidance to financial service providers, consumers, and policymakers. (Available as Federal
Reserve Bank of Boston Public Policy Discussion Paper No. 07-3)
2. Making Investment Choices as
Simple as Possible But Not Simpler,
with Zvi Bodie (Financial Analysts Journal, 63, 3, May-June
2007). Abstract: Target-date funds (TDFs) for
retirement, also known as life-cycle funds, are being offered as a
simple solution
to the investment task of participants in self-directed retirement
plans.
A TDF is a “fund of funds” diversified across stocks, bonds, and cash
with
the feature that the proportion invested in stocks is automatically
reduced
as time passes. Empirical evidence suggests that a simple TDF strategy
would be an improvement over the choices currently made by many
uninformed plan participants. This article explores a way to achieve
even greater improvement for people who are very risk averse and have
high exposure to market risk through their labor.
3. Making
Investment Choices as Simple
as Possible But Not Simpler: Author Response, with Zvi Bodie
(Financial Analysts Journal,
63, 4,
July-August 2007). Abstract:
In his comment on our article, Jonathan Smith expresses concern about
the fact that employers are outsourcing their employee retirement plans
to mutual funds and asks what can be done to help financial advisors as
they work with people who are planning for their own retirement. We
share Mr. Smith’s concerns. We think that the investment companies that
now hold much of the retirement savings of the next generation of
retirees have not done an adequate job of providing safe investment
options for these customers. We formulate a list of recommendations.
4. The Non-Monotonicity of
Value-at-Risk and the Validity of Risk
Measures over Different Horizons (ICFAI Journal of Financial
Risk Management, 4, 1, March 2007). Abstract:
Value-at-Risk and Conditional Tail Expectations are central tools of
modern risk management. As risk measures based on the actual
probability distribution, these can eventually decrease with the
investment horizon. This is not evidence that stock investments are
decreasingly risky in the long run. Instead, equity risk increases
monotonically at long horizons. This is apparent from economically
motivated risk measures based on risk-neutral probabilities.
5. Financial Frictions and Risky
Corporate Debt, with Doriana
Ruffino (Available as American Economic Association Online Comment
(http://www.e-aer.org/comments/20060316.pdf),
and Economic Notes:
Review of Banking, Finance and Monetary Economics, 36, 1, 2007). Abstract:
We offer clarifications on Cooley and Quadrini (2001) regarding
financial frictions and risky corporate-debt pricing. Even in a
frictionless world, the promised rate on corporate debt is not
identical across firms and across capital structures and it is not
equal to the risk-free rate. Frictions are unnecessary for credit
spreads to arise. Only with risk neutrality at the macroeconomic level
do interest rates on corporate debt reflect default probabilities. To
the extent that the firm's entire financial structure is traded, this
bias introduces an exploitable
arbitrage opportunity. Re-establishing no-arbitrage, firm dynamics move
in
the opposite direction of Cooley and Quadrini's, weakening their
results
and challenging their model's ability to replicate the empirical
evidence
on firm behavior.
6. Derman and Taleb's The Illusions
of Dynamic Replication: A Comment,
with Doriana Ruffino (Quantitative Finance, 6, 5, October 2006).
Abstract: While as a matter of pure chance and
mathematical manipulations, the Black-Scholes formula could have been
accidentally obtained much earlier by making use of put-call parity, a
simple thought experiment demonstrates the inconclusiveness of any such
derivation as regards the validity
of the resulting pricing equation. In particular, the use of a
non-stochastic
discount rate common to both the call and the put options is
inconsistent
with modern equilibrium capital asset pricing theory. Additional
observations
are made.
Forthcoming Articles:
1. Life-Cycle
Consumption Plans and
Portfolio Policies in a
Heath-Jarrow-Morton Economy, (ICFAI
Journal
of Financial
Risk Management).
Abstract: This paper
applies
the methods of Detemple, Garcia, and Rindisbacher (2003, 2005) and
derives
explicit optimal lifetime consumption-portfolio plans in an economy
whose fixed-income sector is characterized by an N-factor
Heath-Jarrow-Morton (1992)
model that is Markovian in 3N state variables.
BU School of Management Presentation:

2.
Contingent Claims Analysis and
Life-Cycle Finance, with Zvi Bodie and Doriana Ruffino (American Economic Review, 2008 Papers and
Proceedings). Abstract: This paper explores the application of
contingent claims analysis (CCA) to two "hot" issues in life-cycle
finance: (1) investing for retirement and (2) deciding when, if ever,
to switch careers. Participants in individual retirement accounts do
not have the time or the knowledge to make their own investment
decisions. Today they are defaulted into life-cycle mutual funds that
pass all the risk directly through to the participant. We use CCA to
demonstrate how financial firms can design and produce guaranteed
contingent benefit contracts that improve participant welfare at no
additional cost to the system. These contracts combine
features of traditional annuities (i.e., lifelong income benefits) and
structured investment products (e.g., guaranteed minimum plus "upside"
equity participation). In exploring the career-choice issue in the
second part of the paper, we use CCA in a somewhat different way. The
decision to switch careers is analogous to deciding when to exercise an
American-style option to swap one asset for another. By applying the
methods used to analyze the option-exercise decision to the
career-switching problem, we gain some new insights beyond those
derived from the traditional dynamic programming approaches.
Working Papers:
1. Human Capital Risk
Management: The Optimal Exercise of
Career Options (Job Market Paper), with Doriana
Ruffino. Abstract:
Financial economists
increasingly view a person's human capital as being analogous to a
portfolio of
risky stocks and bonds. We demonstrate that, more generally, human
capital
exhibits the complex structure of a derivatives portfolio. In
particular, the ability
to permanently change occupations over one's career is isomorphic to an
American spread option of the Margrabe type. Studying this career
option from
the perspective of contingent claims analysis, we consider the optimal
choice
of one's initial occupation and the decision to change occupations
later in
life when the individual faces a choice between two occupations -- one
relatively safe and the other relatively risky. We show that starting
out in
the riskier occupation is optimal only if earnings volatility is high
and
switching costs low. We also find that the option to change occupations
is
quite valuable, raising human capital wealth by as much as 8 percent.
Matlab Code:
2. Repeated
Career Options: A Contingent Claims
Approach. Abstract: This article studies the
behavior of an individual who can repeatedly alternate between two
occupations. Such a career option is analogous to an exotic derivative
security: an American reset option. Despite infinite opportunities to
change occupations, an individual faced with mobility costs is shown to
always allow time to go by between occupation changes. In addition, for
economically motivated calibrations, the average number of occupation
changes declines steadily over time. These results mirror the behavior
of real-world individuals, who change occupations more often in the
early stages of their professional lives. Finally, it is proved
analytically that the individual is unambiguously more reluctant to
change occupations when she does not have the assurance that she may
return to her initial occupation at a later date. The model
demonstrates that the flexibility of repeated career options adds much
value over their once-in-a-lifetime counterparts.
3. Automatic for the People?
Hedge
Funds, Traditional and Clones. Abstract:
While some herald the development of hedge fund replicators as marking
the industry's own ETF revolution, others are expressing concern over
the
clones' properties since traditional hedge funds are
human-capital intensive financial operations and the high concentration
of specialized talent is the reason for the industry's remarkably high
remuneration structure. Taking much of the human capital out of hedge
fund strategies is a pre-requisite for bringing the costs of
replicators down, but it is one that many feel comes at a high price in
terms of adaptivity, dynamic flexibility, and risk selection. In this
article, I study a continuous-time model of arbitrage selection, which
sheds light on this trade-off and provides added perspective on
the issue. Several important results are obtained. First, a hedge
fund's optimal trade selection criterion depends on a risk-reward
trade-off that balances the expected gains from the trade and the
uncertainty surrounding the trade's speed of convergence. Furthermore,
the ability to select potential arbitrage trades generates a value for
the fund's net discounted cash flows that resembles prototypical
option-pricing formulas. In addition, the value added of human capital
to a hedge fund's operations is dramatically enhanced when the fund
deals in potential arbitrage trades for which there is a significant
amount of uncertainty regarding the speed of convergence or the chances
of divergence. Additional observations are made. (All About Alpha column about this
paper, Institutional Investor column about
this paper)
4. Lumps
and Clusters in Duopolistic Investment Games: An
Early Exercise Premium Approach, with Doriana Ruffino. Abstract:
This paper investigates
strategic
investment policies in a duopolistic continuous-time real options game.
Our contribution is twofold, economic and methodological. The former is
the recognition that, under fixed costs of investment and
time-to-build, a firm's exercise of its capital-replacement option
leads to a significant temporary reallocation of the firm's revenues to
its competitor. The latter is the introduction of the early exercise
premium representation as a valuable device for the characterization of
optimal exercise policies in real options games. Assuming exogenous
firm roles, we find that (i) as the leader installs its newly purchased
capital, the follower's optimal investment policy displays a markedly
convex and monotonically decreasing pattern over time, which
finds its justification in the temporary transfer of the leader's
consumer
demand to its competitor, and (ii) once the leader has completed its
investment
process, the follower's trigger boundary -- i.e., the level of market
demand
that renders capital replacement optimal -- is time-independent.
Moreover,
we demonstrate that the follower's willingness to delay investment is
enhanced by a longer time-to-build and a more volatile market demand,
while it is
weakened by a higher quality improvement upon replacement and by a
higher
expected growth in market demand. Finally, we study the probability
that
the follower mimics the leader's decision within the leader's
time-to-build
window. We conclude that, while a higher quality advancement upon
investment
and a higher growth rate in market demand make it more likely for the
follower
to exercise its investment option promptly, a higher market uncertainty
and
a longer time-to-build alter the probability of an investment cluster
non-monotonically.
PowerPoint Presentation:
Matlab Code:
5. Optimal Age-Based
Portfolios with Stochastic Investment Opportunity
Sets, with Doriana Ruffino. Abstract: In an
environment with stocks and short-term debt, random changes in the
risk-reward frontier produce hedging demands for equities, implying
that portfolio policies supporting optimal life-cycle consumption are
rarely mean-variance efficient. Pursuing optimal life-cycle portfolio
policies is technologically feasible but it represents a significant
burden for individuals and financial firms acting as fiduciaries. As a
result, investors often rely on relatively simple
investment heuristics, most often age-based portfolio policies that
rebalance
the investor's portfolio as a function of age alone. We find that (i)
the
welfare losses associated with optimal age-based policies are often
negligible,
so that the trade-off between the first-best and these simpler policies
likely favors the latter, and that (ii) not only do initial age-based
portfolios
display the same overall pattern as first-best portfolios but they are
also always within the same order of magnitude.
Boston Fed PowerPoint Presentation:
6. A Study of Inaction in
Investment Games via the Early Exercise
Premium Representation, with Doriana Ruffino (Submitted to Economic
Modelling). Abstract: This paper examines
strategic investment in the context of a duopolistic continuous-time
real options game. Our contribution is twofold, economic and
methodological. The former is the recognition that, under fixed costs
of investment and time-to-build, the firm pays a fraction of the
implicit strike price to its competitor in the form of transferred
foregone consumer demand. The latter is the introduction of the early
exercise premium representation as a valuable device for the
characterization of
optimal exercise policies in real options games. We find that positive
capital
depreciation, technology improvement, and harm effects to the
low-technology
producer are not sufficient to generate equilibria characterized by
action.