Alejandro Paschalides Profile Picture Individual Investor

A Paschalides

Founding Principal, Carina Funds,Financial Services

  • Education University of Pennsylvania, The Wharton School
  • Qualifications Magna cum laude from Wharton in Finance and Real Estate
  • Investment Experience 5 years

Energy

Focusing solely in the energy sector, uses a top-down approach to qualitatively narrow down investment options.  Then, applies quantitative analysis to identify specific opportunities.  Focus on fossil fuels, as they represent the overwhelming majority of the sector, but open to alternative energy plays if valuation is attractive.
Analyzes global energy and commodities trends to gauge how these will influence the overall economy. Screens out, on a qualitative basis, which energy companies are poised to take advantage of changes within the industry. Then uses quantitative analysis determines if an attractive investment opportunity exists. Looks at the entire energy spectrum, but places an emphasis on fossil fuels, since they represent the overwhelming majority of the sector.
Research includes industry journals and newsletters, technical books, academic and institutional reports, etc. to discover overall energy trends. Quantitative analysis is focused on standard financial metrics, but also industry-specific, such as reserves, day rates, rig counts, etc. Outsized returns are generated by knowing something the general market doesn’t, so in-depth research is critical.
Seeks few positions and low portfolio turnover because commissions are costly given typical small account size. Seeks 25 to 35 positions in account, each comprising about 5% to 10% of the portfolio. Given low number of positions, seeks to spread out transactions over time. Nevertheless, will not do multiple trades on a single security, since transaction costs make that too costly for the typical investor’s small portfolio. Employs multiple stocks to take advantage of a trend, which allows for increased sophistication and hedging of certain risks.
Sells when a trend has played itself out or if valuation no longer reflects fundamentals. Does not have % exit targets in the up or down direction. Sells if foresees increased downside risk arising from demand retrenchments.
Invests in ETFs to capitalize on macro-level trends while eliminating company-specific risks. May go long or short companies in other industries affected by energy trends if the market has yet to realize the potential impact.  For example, the model may short consumer discretionary companies when energy prices are high.

Risk rating

4
Leverage: 1.55
32.2%

Best 30 days

-24.3%

Worst 30 days

Performance

  • 9.8%
    30 day
  • -2.0%
    365 days
  • 24.7%
    Since Inception
    September 07, 2009
Monthly vs S&P500
Sparkbar Graph, Energy Investment Model Performance versus S&P500
-7.2%

Last 12 months

  • $5,000.00 subscription min
  • Margin account required
  • 1.5% fee

Replicability

154.6%
0.0%
70.1%
29.9%
100.0%
  • Leverage
  • Non-replicable
  • Holdings
  • Cash
  • Replicable

Top 5 Holdings View all

12.7%
9.7%
-15.1%
18.2%
10.6%
  • DO
  • HES
  • BA
  • ATW
  • NE

Model commentary

  1. Netflix has consistently beat expectations (NFLX)

    3 August 2011

  2. Netflix looks south of the border - what it means … 7 July 2011
  3. Happy to be on the right side of the rally - … 15 June 2011
  4. Why I shorted Green Mountain Coffee Roasters - A. … 12 May 2011

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Performance detail

  • Manager
  • S&P Global 1200 Energy
  • S&P 500

Performance

Inception September 07, 2009
as of February 08, 2012 Manager S&P Global 1200 Energy S&P 500 Average Subscriber
Past 30 days 9.8% 4.2% 5.4% 11.3%
Past 90 days -0.2% 6.1% 8.9% 0.3%
Past 365 days -2.0% -2.7% 1.9% -5.5%
Since Inception (Annualized) 9.5% 10.1% 12.4% -
2012 (YTD) 10.6% 6.4% 7.3% 13.0%
2011 -6.3% -1.6% -0.0% -12.2%
2010 23.6% 8.7% 12.8% 8.7%

Risk Metrics

Last 365 Days
as of February 08, 2012 Manager S&P Global 1200 Energy S&P 500
Best 30 days 32.2% 21.2% 13.6%
Worst 30 days -24.3% -19.5% -16.7%
Volatility 34.6% 27.7% 23.2%
Sharpe Ratio -0.06 -0.10 0.08
Sortino Ratio -0.09 -0.14 0.10
Maximum Drawdown -33.0% -29.3% -19.4%
Value-at-risk (95%, 1 week) -8.0% -6.4% -5.4%
vs. S&P Global 1200 Energy vs. S&P 500
Information Ratio 0.04 -0.18
Alpha 2.6% -1.4%
Beta 1.05 1.18
R-Squared 0.70 0.63

Latest transactions view all

Average trades per month 2.7
Executed Symbol Security Replicable Type Price
11/10/11 HAL HALLIBURTON CO Yes Buy $37.19
11/10/11 GMCR GREEN MOUNTAIN COFFEE ROASTE Yes Buy to cover $40.81
11/10/11 ATW Atwood Oceanics Inc Yes Sell $42.50
11/10/11 BNO UNITED STATES BRENT OIL FUND   Buy to cover $77.88
11/10/11 OPEN OpenTable Inc Yes Buy to cover $38.25
11/10/11 GMCR GREEN MOUNTAIN COFFEE ROASTE Yes Sell short $40.72
08/31/11 HES Hess Corp Yes Buy $59.51
08/31/11 LNKD LINKEDIN CORP - A Yes Sell short $83.57
  • $5,000.00 subscription min
  • Margin account required
  • 1.5% fee

Important Information

1. Past performance is no guarantee of future results.

2. Performance of the model manager's account is calculated by Covestor on a daily time-weighted basis, including cash, dividends and earnings distributions, and broker commissions. Manager returns include trades that fail Covestor's trading rules, do not reflect any Covestor suitability or risk score restrictions and are exclusive of Covestor fees. More

3. Average subscription returns ("Avg Sub" or "Avg Client") are calculated by Covestor and are composed of the average, daily, time weighted returns of all active subscriptions to the underlying model. These daily average returns are then linked together for the timeframe requested. In addition, these returns include cash, dividends and earnings distributions, brokerage commissions, Covestor advisory fees, and reflect individual client suitability and risk score restrictions. More

4. All graph data is as of the end of day for the referenced period, unless otherwise specified. The subscription minimum is the minimum subscription required to follow a particular model. The minimum amount is determined by Covestor, based on the characteristics of the underlying model. It should not be considered as specific investment advice for your investment situation.

5. Benchmark returns have been calculated by Covestor using a time-weighted calculation of daily index valuations and do not include cash, dividends and earnings distributions, or transaction costs. More

6. Leverage indicates the level of margin utilized and is calculated by dividing gross exposure by portfolio net liquidation value.

7. All Model Manager information including personal data, profiles, strategies, monthly investment reports, and historical results outside of Covestor has been provided by the Model Manager. Covestor makes no representation or warranty of its accuracy, completeness or relevance and it does not represent the opinions of Covestor. Transaction history is available upon request. Model classifications (Approach, Asset Class) are provided by Covestor, and are intended to serve as a general guide.

8. Top Replicable Holdings: These securities are currently held in the model manager's brokerage account. Those marked as "Replicable Holdings" currently pass Covestor's trading rules, subject to individual client constraints. Eligibility for replication may change over time. Actual client subscription holdings may vary.

9. Latest Transactions: These transactions were executed in the model manager's brokerage account. Those marked as "Replicable" () passed Covestor's trading rules and were eligible for replication at the time of execution, subject to individual client constraints. Eligibility for replication may change over time. Actual client subscription trade activity may vary.

10. S&P 500 Index is an unmanaged index compiled by Standard & Poor´s Corp. Index returns do not reflect any management fees, transaction costs or expenses. Individuals cannot invest directly in an Index. S&P 500 index data: S&P 500 Copyright © 2012.

11. Dow Jones index data: CME Group Index Services, LLC 2012