The Farhampton Endowment,
University of New York
Taposh Dutta Roy & Team
About Us
• We manage $200MM endowment fund for
University of New York in Farhampton
• Mission: to generate significant financial resources
for research and developing new programs
• Spending policy to our beneficiaries is 4.25%
• Annual gift inflows: Approximately 1% on average
• Investments through alumnus and other
investment professionals
Team Structure
Portfolio
Manager
Asset Portfolio Role of Asset Class
Shrinath
Devarajan
Private Equity High return potential, Long term growth
Nate Hinton Equities High return potential, Long term growth
Mohi Pillai Hedge Funds
Strong risk-adjusted returns, “Absolute”
Returns / Downside Protection, Diversification
Tabitha Lay
Cash Liquidity, Risk reduction
Bonds
Risk Reduction, Diversification, Deflation
hedge.
Taposh
Dutta Roy
Commodities
Diversification, Inflation hedge, Global growth
bet
Gaurav Sethi
Real Estate
(REITs)
Income, Total Return
Investment Philosophy and
Objectives
• Risk budget: 60% of the long-term annualized
volatility of stocks or < 10%.
• Returns: 7%
Spending policy (4.5%) + projected average inflation
over next 5 years (2.5%)
• Outperform our peer group, the 2013 NACUBO-
COMMONFUND Study of Endowments $101-
$500MM
Asset Allocation - 46% stocks, 15% bonds, 8% private
equity, 19% hedge funds, 4% commodities, 3% real
estate, and 5% cash.
Investment Philosophy and
Objectives
• Superior risk-adjusted return versus our
peer group and in-line with our benchmark
• Framework: mean-variance analysis to
estimate expected risk and return profiles.
• Test the sensitivity of results to changes in
input assumptions.
Limitations
• Our endowment size can limit access to
managers who require large investment
minimums that we cannot meet.
• Limited human resources and time.
• Individual security selection is not our
strength
Addressing Limitations
 Use our strengths: macro, multi-asset
portfolio management
 Hire new managers
 Invest in indexes to gain specific portfolio
exposures rather than managing the portfolio
ourselves bottom up.
 Use alumni and connections
 Invest in Private Equity and Hedge Funds
that have smaller minimum investments
Market Outlook
Economic Outlook
More Volatility
• Potential Catalysts
for Higher Volatility
– End of QE – liquidity
coming out of the
markets
– Upcoming Elections
– China Recession
and/or credit crisis
driven by real estate
bubble
– Declining profits
Credit Cycle Outlook
Asset Class Analysis
Bonds and Cash
• Cash: Expected Return: 1.5% , Standard Deviation: 0.7%
– Overweight
• Bonds: Expected Return: 0%, Standard Deviation: 3.5%
– Late Cycle, Underweight
• Interest rate movement & economic or geopolitical shocks
• Potential beginning of a bear market in bonds
Barclays Aggregate Bond Index Duration 5.2 years
As of 5/30/2014
30day
SEC Yield 2 %
6/2014 -
6/2015
6/2015-
6/2016
6/2016-
6/2017
6/2017-
6/2018
6/2018-
6/2019
Expected Fed Funds Rate Increase 0 0.5 0.75 1 1
Total Return
Contribution
Income 2.00% 2.50% 3.25% 4.25% 5.25% 3.45%
Return from Duration 0.00% -2.60% -3.90% -5.20% -5.20% -3.38%
Return from Supply/Demand 2.00% 2.00% 1.00% -2.40% -3.00% -0.08%
Total 4.00% 1.90% 0.35% -3.35% -2.95%
Expected Return 0%
Standard Deviation 3.15%
Stocks
• Stocks: Expected Return: 7.25%
, Standard Deviation: 18%
– Mid, approaching Late Cycle, Neutral
– Lower expected returns vs. history,
higher volatility
• Expected Return Stocks =
Projected Equity Risk Premium +
Expected Return Bonds +
Expected Return of Cash
– = 5.75% + 0% + 1.5% =
7.25%
• Standard Deviation = S&P 500
20yr Ann. Volatility (ending 1Q
2014) + Add’l Risk Factor
– = 16.9% + 1.1% = 18%
Hedge Funds
• Hedge Funds: Expected Return: 8.1% , Standard Deviation: 8.5%
– Mid Cycle, Overweight
– Strong expected risk adjusted returns vs. other asset classes in volatile
environments
• more investment tools to be able to generate strong alpha vs. the market, using
leverage, long/short capabilities, and derivatives
• Standard Deviation = HFRI Composite Index 20yr Ann. Volatility =
8.5%
• We project hedge funds will have similar volatility to 20 year
average
HFRI Fund Weighted Composite Risk Free Rate 3.5 5 yr projected avg
As of 5/30/2014 Beta 0.65
[E]x = Risk free rate + Beta (Rm-Rf) + Alpha Equity Risk Premium 5.75
Alpha Assumption 3.1
Expected Return 8.1
Private Equity
• Private Equity: Expected Return: 10.25% , Standard Deviation: 23%
– Mid to Late Cycle, Neutral
– Valuations getting richer in certain sectors, increasing LBO deals and
rising debt levels
– Still opportunity in healthcare and energy sectors, internationally
• Illiquidity premium: 3.5%, adjusted returns -0.5% for “pooled average”
returns
• Standard Deviation = Projected StdDev of Stocks + Illiquidity
Premium + Add’l Adjustments (higher than average expected
market volatility)
– = 18% + 3.5% + 2.5% = 23%
Cambridge Associates Pooled Average Stocks Expected Return 7.25
As of 5/30/2014 Iliquidity Premium 3.5
[E]x = Stock Return + Illiquidity Premium+ Adjustments Adjustments -0.5 Pooled average
Expected Return 10.25
Real Estate (REITs)
• Real Estate: Expected Return: 10.5% ,
Standard Deviation: 20%
– Mid Cycle, Neutral/Slight overweight
– Valuations a bit rich in REITs,
sensitive to interest rates
– Strong real estate demand – can
potentially slow, need for income,
inflation
– Fannie and Freddie Implications
• Expected Return = FTSE NREIT US
REIT Index Ann. Return Last 5 yrs (Q2
2009 – Q1 2014) – Adjustments for
slower growth
– = 17.1% - 6.6% = 10.5%
• Standard Deviation = FTSE NREIT
US REIT Index 20yr Ann. Volatility =
20%
Commodities
• Commodities: Expected Return: 2%
, Standard Deviation: 18%
– Mid Cycle, Neutral
– Relative valuation cheaper than
other asset classes
– Worried about slowdown in
emerging markets – affects
demand
– Uncertainty about Inflation and
global demand = higher volatility
• Expected Return = Expected Cash
Return + Commodity Risk Premium
– = 1.5% + 0.5% = 2%
• Standard Deviation = DJ Spot
Return Index 20yr Ann. Volatility
(ending 1Q 2014) + Adjustments
– = 16.7% + 3.3% = 18%
Our Portfolio Recommendations
“The most stable and profitable portfolio that
can weather uncertain market situations.”
Portfolio Allocations
Commodities
7%
Hedge Funds
28%
Stocks
20%
Cash
15%
Bonds
10%
PE
10%
Real Estate
10%
Our Decision Making Strategy
WEATHER
MARKET CHANGES
HIGH SHARPE
RATIO
LOW
STANDARD DEV
LOW FEES
Decision Making Process
Risk Return History & Forecast
Portfolio Candidates
16% 20%
Risk Return History & Forecast contd.
Current Portfolio.
Historical Return & Volatility
Final Selection
Scenario & Stress Testing
FRONTIER MARKETS
Strategic Investment Opportunity
Investment Problem:
Growth is slowing down around
the world and correlations
between asset classes have
increased.
Where else can we find growth
AND diversification, that’s
liquid?
“True Emerging Markets of Today”
• Frontier Country
classification determined
by:
– Economic development –
Current status and the
sustainability of economic
development in each country
– Market size and liquidity –
Aggregate size of the equity
market and minimum
investability requirements for
each security
– Accessibility to offshore
investors – International
investors’ ability to invest in
each market
Why Frontier Markets:
Diversification
• Source assets from
Stocks – both EM and
Developed
• Frontier countries have
low correlations to
each other and other
asset classes
– 0.59 correlation to S&P
500 vs. Emerging
Markets 0.89 vs. S&P
500
• Risks: Heightened
idiosyncratic and
country specific risks
Why Frontier Markets: Growth
• Higher Growth:
– Long-term growth opportunity – China 20 years ago
– Frontier Markets is forecasted to be among the world’s fastest
growing economies
– The region represents 30% of global population
– Unlike the developed markets, many of them are young and could
be consumers of the future
Thank You
Expected Returns and Standard
Deviations
Cash 1.5% 0.7% n/a Overweight
Bonds 0.00% 3.2% Late Underweight
Hedge Funds 8.1% 8.5% Mid Overweight
Real Estate (REITs) 10.5% 20% Mid Overweight
Stocks 7.25% 18% Mid to Late Neutral
Commodities 2.00% 18% Mid Neutral
Private Equity 10.25% 23% Mid - Late Neutral
View
Long Term Risk and
Return Assumptions
Expected
Return
Annual
St. Dev.
Stage of
Cycle

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Multi Asset Endowment Investment Strategy

  • 1. The Farhampton Endowment, University of New York Taposh Dutta Roy & Team
  • 2. About Us • We manage $200MM endowment fund for University of New York in Farhampton • Mission: to generate significant financial resources for research and developing new programs • Spending policy to our beneficiaries is 4.25% • Annual gift inflows: Approximately 1% on average • Investments through alumnus and other investment professionals
  • 3. Team Structure Portfolio Manager Asset Portfolio Role of Asset Class Shrinath Devarajan Private Equity High return potential, Long term growth Nate Hinton Equities High return potential, Long term growth Mohi Pillai Hedge Funds Strong risk-adjusted returns, “Absolute” Returns / Downside Protection, Diversification Tabitha Lay Cash Liquidity, Risk reduction Bonds Risk Reduction, Diversification, Deflation hedge. Taposh Dutta Roy Commodities Diversification, Inflation hedge, Global growth bet Gaurav Sethi Real Estate (REITs) Income, Total Return
  • 4. Investment Philosophy and Objectives • Risk budget: 60% of the long-term annualized volatility of stocks or < 10%. • Returns: 7% Spending policy (4.5%) + projected average inflation over next 5 years (2.5%) • Outperform our peer group, the 2013 NACUBO- COMMONFUND Study of Endowments $101- $500MM Asset Allocation - 46% stocks, 15% bonds, 8% private equity, 19% hedge funds, 4% commodities, 3% real estate, and 5% cash.
  • 5. Investment Philosophy and Objectives • Superior risk-adjusted return versus our peer group and in-line with our benchmark • Framework: mean-variance analysis to estimate expected risk and return profiles. • Test the sensitivity of results to changes in input assumptions.
  • 6. Limitations • Our endowment size can limit access to managers who require large investment minimums that we cannot meet. • Limited human resources and time. • Individual security selection is not our strength
  • 7. Addressing Limitations  Use our strengths: macro, multi-asset portfolio management  Hire new managers  Invest in indexes to gain specific portfolio exposures rather than managing the portfolio ourselves bottom up.  Use alumni and connections  Invest in Private Equity and Hedge Funds that have smaller minimum investments
  • 10. More Volatility • Potential Catalysts for Higher Volatility – End of QE – liquidity coming out of the markets – Upcoming Elections – China Recession and/or credit crisis driven by real estate bubble – Declining profits
  • 13. Bonds and Cash • Cash: Expected Return: 1.5% , Standard Deviation: 0.7% – Overweight • Bonds: Expected Return: 0%, Standard Deviation: 3.5% – Late Cycle, Underweight • Interest rate movement & economic or geopolitical shocks • Potential beginning of a bear market in bonds Barclays Aggregate Bond Index Duration 5.2 years As of 5/30/2014 30day SEC Yield 2 % 6/2014 - 6/2015 6/2015- 6/2016 6/2016- 6/2017 6/2017- 6/2018 6/2018- 6/2019 Expected Fed Funds Rate Increase 0 0.5 0.75 1 1 Total Return Contribution Income 2.00% 2.50% 3.25% 4.25% 5.25% 3.45% Return from Duration 0.00% -2.60% -3.90% -5.20% -5.20% -3.38% Return from Supply/Demand 2.00% 2.00% 1.00% -2.40% -3.00% -0.08% Total 4.00% 1.90% 0.35% -3.35% -2.95% Expected Return 0% Standard Deviation 3.15%
  • 14. Stocks • Stocks: Expected Return: 7.25% , Standard Deviation: 18% – Mid, approaching Late Cycle, Neutral – Lower expected returns vs. history, higher volatility • Expected Return Stocks = Projected Equity Risk Premium + Expected Return Bonds + Expected Return of Cash – = 5.75% + 0% + 1.5% = 7.25% • Standard Deviation = S&P 500 20yr Ann. Volatility (ending 1Q 2014) + Add’l Risk Factor – = 16.9% + 1.1% = 18%
  • 15. Hedge Funds • Hedge Funds: Expected Return: 8.1% , Standard Deviation: 8.5% – Mid Cycle, Overweight – Strong expected risk adjusted returns vs. other asset classes in volatile environments • more investment tools to be able to generate strong alpha vs. the market, using leverage, long/short capabilities, and derivatives • Standard Deviation = HFRI Composite Index 20yr Ann. Volatility = 8.5% • We project hedge funds will have similar volatility to 20 year average HFRI Fund Weighted Composite Risk Free Rate 3.5 5 yr projected avg As of 5/30/2014 Beta 0.65 [E]x = Risk free rate + Beta (Rm-Rf) + Alpha Equity Risk Premium 5.75 Alpha Assumption 3.1 Expected Return 8.1
  • 16. Private Equity • Private Equity: Expected Return: 10.25% , Standard Deviation: 23% – Mid to Late Cycle, Neutral – Valuations getting richer in certain sectors, increasing LBO deals and rising debt levels – Still opportunity in healthcare and energy sectors, internationally • Illiquidity premium: 3.5%, adjusted returns -0.5% for “pooled average” returns • Standard Deviation = Projected StdDev of Stocks + Illiquidity Premium + Add’l Adjustments (higher than average expected market volatility) – = 18% + 3.5% + 2.5% = 23% Cambridge Associates Pooled Average Stocks Expected Return 7.25 As of 5/30/2014 Iliquidity Premium 3.5 [E]x = Stock Return + Illiquidity Premium+ Adjustments Adjustments -0.5 Pooled average Expected Return 10.25
  • 17. Real Estate (REITs) • Real Estate: Expected Return: 10.5% , Standard Deviation: 20% – Mid Cycle, Neutral/Slight overweight – Valuations a bit rich in REITs, sensitive to interest rates – Strong real estate demand – can potentially slow, need for income, inflation – Fannie and Freddie Implications • Expected Return = FTSE NREIT US REIT Index Ann. Return Last 5 yrs (Q2 2009 – Q1 2014) – Adjustments for slower growth – = 17.1% - 6.6% = 10.5% • Standard Deviation = FTSE NREIT US REIT Index 20yr Ann. Volatility = 20%
  • 18. Commodities • Commodities: Expected Return: 2% , Standard Deviation: 18% – Mid Cycle, Neutral – Relative valuation cheaper than other asset classes – Worried about slowdown in emerging markets – affects demand – Uncertainty about Inflation and global demand = higher volatility • Expected Return = Expected Cash Return + Commodity Risk Premium – = 1.5% + 0.5% = 2% • Standard Deviation = DJ Spot Return Index 20yr Ann. Volatility (ending 1Q 2014) + Adjustments – = 16.7% + 3.3% = 18%
  • 19. Our Portfolio Recommendations “The most stable and profitable portfolio that can weather uncertain market situations.”
  • 22. WEATHER MARKET CHANGES HIGH SHARPE RATIO LOW STANDARD DEV LOW FEES Decision Making Process
  • 23. Risk Return History & Forecast
  • 25. Risk Return History & Forecast contd. Current Portfolio. Historical Return & Volatility
  • 27. Scenario & Stress Testing
  • 29. Investment Problem: Growth is slowing down around the world and correlations between asset classes have increased. Where else can we find growth AND diversification, that’s liquid?
  • 30. “True Emerging Markets of Today” • Frontier Country classification determined by: – Economic development – Current status and the sustainability of economic development in each country – Market size and liquidity – Aggregate size of the equity market and minimum investability requirements for each security – Accessibility to offshore investors – International investors’ ability to invest in each market
  • 31. Why Frontier Markets: Diversification • Source assets from Stocks – both EM and Developed • Frontier countries have low correlations to each other and other asset classes – 0.59 correlation to S&P 500 vs. Emerging Markets 0.89 vs. S&P 500 • Risks: Heightened idiosyncratic and country specific risks
  • 32. Why Frontier Markets: Growth • Higher Growth: – Long-term growth opportunity – China 20 years ago – Frontier Markets is forecasted to be among the world’s fastest growing economies – The region represents 30% of global population – Unlike the developed markets, many of them are young and could be consumers of the future
  • 34. Expected Returns and Standard Deviations Cash 1.5% 0.7% n/a Overweight Bonds 0.00% 3.2% Late Underweight Hedge Funds 8.1% 8.5% Mid Overweight Real Estate (REITs) 10.5% 20% Mid Overweight Stocks 7.25% 18% Mid to Late Neutral Commodities 2.00% 18% Mid Neutral Private Equity 10.25% 23% Mid - Late Neutral View Long Term Risk and Return Assumptions Expected Return Annual St. Dev. Stage of Cycle

Editor's Notes

  • #10: The US economic expansion began in mid-2009. Now, 4 years later, we see the US economy showing mixed characteristics from early to late parts of the cycle. Overall, we believe we are in mid-cycle of the expansion and approaching the late part of the cycle over the next year or two. Some of the mid-cycle characteristics we see are profit margins peaking, stronger credit growth, and housing recovery. Though the US economic expansion period seems mature time wise, we believe there’s still room for expansion. There is a lot of slack in the economy, economic activity is still muted and shows early-cycle characteristics, and inflation is nowhere near pre-recession levels.
  • #11: Over the next five years, we predict heightened levels of volatility than what the market experienced over the last 3 years. The exorbitant amount of quantitative easing has artificially pushed down volatility to one year lows. We expect a reversion to the mean within the next five years once quantitative easing ends. This record low volatility leaves the market vulnerable to outside shocks, such as risks from credit tightening, China recession, and Ukraine. There is a strong possibility that we will enter into an economic contraction in about 3 years, coupled with heightened levels of volatility and market corrections throughout.
  • #12: Credit Cycle: Though we do not believe the US economy is at risk of a recession in the next five years, we do see the US approaching the late stage of the credit cycle. A couple warning signs we see are as follows:   Figure 2: Spreads High Yield Credit Spreads: High yield spreads are approaching 2007 lows since 2000 due to strong demand, but not enough supply. We believe investor demand of high yield credit and leveraged loans is euphoric, evidenced by very tight spreads (See Figure 2). This demand is largely driven by the investor’s search for yield in this low interest rate environment. With money market funds yielding 0% and 10 year treasuries yielding about 2.5%, investors are flocking into high yielding, junk quality bonds. We are concerned that investors are too focused on yield and not on the credit risk that they are taking. High yield and leveraged loans are a lot less liquid than investment grade debt and thus, any shock to the credit cycle can cause a liquidity crisis, which will lead to higher volatility. Low Default Rate Levels: Default rates have also moved lower than pre-Great Recession periods. This is another sign the credit cycle may be peaking.
  • #14: View and Outlook: With the fed funds rate near 0%, bond valuations are near 30 year highs. Thus, we feel bonds are in the late stage of the cycle and hold a below average view. We expect a bear market in bonds that will start happening sometime within the next 5 years. We expect the Fed to raise rates to 3.25% over the 5 years, starting in mid-late 2015. Bonds have a negative correlation to interest rates so upwards movement in the Fed Funds rate will be a major driver of downside pressure in bonds. The higher the bond duration, the larger the impact of rates on bond prices. Another driver of return is supply and demand. Demand for bonds tends to rise during times of fear as investors see bonds as safe havens. We expect to see heightened market volatility and even a market correction starting in mid-late 2015 and into 2016. Calculations: Per Figure 1 below, we forecasted the expected return of bonds using the Barclays Aggregate Bond Index and its current duration of 5.2 years and SEC yield of 2%. Next, we forecasted the fed funds rate movement over the next 5 years, which we expect to increase 3% over that time period. We then broke out each of the return contribution components into 3 sections: Income: Return earned from yield. Rough calculation for simplicity. Current SEC yield of 2% + projected fed funds rate increase Return from Duration: Impact of duration risk on return 5.2 years x projected fed funds rate increase Return from Supply and Demand: Projected impact of market demand on bond prices No formula – looked at historical periods of bond returns in varying environments and forecasted when market volatility to project price return. We expect demand for bonds to increase in 2015 and 2016, but drop sharply in 2017 and 2018. After projecting returns each year, we averaged the returns over a the 5 year period and calculated the standard deviation.
  • #15: View and Outlook: Stocks are a leading indicator. Returns are driven primarily by corporate profit growth, consumer sentiment, and forward looking economic expectations. S&P 500 has recently reached its all-time high, largely driven by the influx of liquidity from the Fed rather than fundamentals. The earnings growth we’ve seen was mostly due to companies increasing margins by cost-cutting rather than top-line growth. For that reason, profit margins seem to be approaching their peak in the United States. Unless we see an increase in sales, we believe the equity risk premium going forward will be lower than the last 20 years, at about 5.75%. At the same time, due to upcoming elections, rich valuations, ending of QE, slowdown of emerging markets, and other geopolitical risks, there are a lot of catalysts that can lead to higher volatility. For that reason, we predict stock volatility to be higher over the next 5 years than the 20 year average. Calculations: Benchmark: S&P 500 Expected Return Formula = Projected Equity Risk Premium + Expected Return Bonds + Expected Return of Cash = 5.75% + 0+ 1.5% = 7.25% Standard Deviation = S&P 500 20yr Ann. Volatility (ending 1Q 2014) + Add’l Risk Factor = 16.9% + 1.1& = 18%
  • #16: View and Outlook: We believe the demand for hedge funds will continue to remain strong, while the supply of hedge funds has decreased significantly since 2007. We are overweight this asset class since we still expect positive expected returns in equities over 5 years, but with more market volatility. We believe hedge funds will give us equity-like returns with about 50% of the risk and can outperform stocks in volatile environments. Our Alpha assumption is 3.1 since in periods of market volatility and uncertainty, hedge fund managers have more investment tools to be able to generate strong alpha vs. the market, using leverage, long/short capabilities, and derivatives. Hedge fund returns are economically driven and tend to outperform in periods of volatility.
  • #17: Cycle Stage: Mid to Late cycle, Attractiveness: Average Expected Return: 10.25%, Standard Deviation: 23% View and Outlook: Private equity tends to have high correlations to stocks. Though the private equity market is in high demand, with increasing LBO deals and rising debt levels, we believe there is still room to run in healthcare and energy sectors. However, due to the high expected volatility going forward and illiquidity, we remain even weight the asset class. Our endowment will likely not be given opportunities to invest with all the marquee private equity managers due to our smaller size so our expected return is the pooled average.
  • #18: Real Estate Cycle Stage: Mid cycle, Attractiveness: Average Expected Return: 10.5%, Standard Deviation: 20% View and Outlook: Coming from the lows of 2009, we believe the real estate market is still in mid-cycle, but we will not experience the high growth rates as we did the prior 3 years. Real estate is driven by supply and demand. The demand for real estate is driven by ease of bank lending, mortgage rates, consumer sentiment, and interest rates. Publically traded REITs in particular, especially those focused on income, tend to be more interest rate sensitive. Going forward, we have a neutral view on this asset class due to expected increase in supply, reduced demand from future higher mortgage prices, and uncertain impact of Fannie and Freddie resolution on housing market. Calculations: Expected Return = FTSE NREIT US REIT Index Ann. Return Last 5 yrs (Q2 2009 – Q1 2014) – Adjustments for slower growth = 17.1% - 6.6% = 10.5% Standard Deviation = FTSE NREIT US REIT Index 20yr Ann. Volatility = 20%
  • #19: Commodities Cycle Stage: Mid cycle, Attractiveness: Average Expected Return: 2%, Standard Deviation: 18% View and Outlook: Commodities is a very broad asset class, made up of precious metals, agriculture, and oil to name a few. Return for commodities is driven by supply and demand. The demand is driven by consumption and the economic environment. Much of the world’s commodities are used by the emerging markets, which are showing signs of economic slowdown. Though the valuations for certain commodities seem attractive, we believe there will be higher volatility than historically seen in this asset class going forward our expected returns will be similar to inflation. Calculations: Expected Return = Expected Cash Return + Commodity Risk Premium = 1.5% + 0.5% = 2% Standard Deviation = DJ Spot Return Index 20yr Ann. Volatility (ending 1Q 2014) + Adjustments = 16.7% + 3.3% =18%
  • #21: Hedge Funds 28.0% Stocks 20.0% Cash 15.0% Bonds 10.0% Private Equity 10.0% Real Estate (UL) 10.0% Commodities 7.0%
  • #23: Strategy for Deciding the best Portfolio: High Sharpe Ratio Low Standard Deviation Low Fees Weather Uncertain Market Conditions
  • #24: Decision making process/rationale
  • #25: Strategy for Deciding the best Portfolio: High Sharpe Ratio Low Standard Deviation Low Fees Weather Uncertain Market Conditions
  • #26: Decision making process/rationale
  • #27: Strategy for Deciding the best Portfolio: High Sharpe Ratio Low Standard Deviation Low Fees Weather Uncertain Market Conditions
  • #28: Strategy for Deciding the best Portfolio: High Sharpe Ratio Low Standard Deviation Low Fees Weather Uncertain Market Conditions