Philip Trinder Profile Picture Individual Investor

Philip Trinder

  • Education University of Houston; University of Texas at Austin
  • Qualifications MBA in Finance; BBA in Finance
  • Investment Experience 18+ Years
  • Founded 2008

MLP Protocol Sprint

For the MLP Protocol Sprint portfolio, I pursue higher risks with higher potential total returns. I use an opportunistic and concentrated approach that leverages MLPs and related C-Corps. I will also invest in recent MLP IPOs.
My investment approach is guided by a relative valuation ranking methodology. I invest in smaller, riskier MLPs to potentially capitalize on their potential for higher yields and overall total returns.

I expect this portfolio to generate portfolio volatility that exceeds the S&P 500 Index. The portfolio may have higher turnover driven by changes in relative valuations and changing projected yields.
I manage positions based upon peer segment MLP Protocol rankings (www.MLPprotocol.com). The rankings take into account underlying company fundamentals and valuations coupled with projected distribution growth and resulting estimated forward yields.

I use market data taken from www.finviz.com. I use all underlying company financial data from their respective SEC filings and company press releases.

Also, I use analytical tools that I personally created for MLP Protocol. I use the rankings generated by these analytical tools as the foundation for my investment ideas and views.
For this strategy, I take a non-diversified approach focused in energy related MLPs.

Due to the small portfolio size, the portfolio will typically be concentrated in 12 positions or less and will not have any strict position or concentration limits. Cash is a viable position so I may not be fully invested at all times.

The number of holdings will vary from zero on the low end to approximately a dozen on the high end. The number of holdings is dependent upon investment opportunities in the market and overall valuations.

If in my opinion MLP valuations become excessively exuberant, I will tend to have fewer holdings.

Conversely, if overall MLP valuations remain reasonable, then the number of positions will tend to be on the high end, driven by the pursuit of potential higher relative yield and total return.
I will close positions based on expected or actual deterioration in underlying fundamentals or what I believe are excessively high valuations. When I believe valuations are too high, I will exit positions and redeploy capital into less expensive opportunities that I believe offer better return potential.
The portfolio focuses primarily on non-financial company MLPs (mainly energy related ones) that typically generate a K-1 tax form. I will also invest in MLPs that have elected to be taxed as C Corps and also any C Corp deemed to be related to an underlying MLP (General Partner owners for example).

Risk score

5
12.3%

Best 30 days

-9.7%

Worst 30 days

Performance

  • 1.2%
    30 day
  • 3.7%
    90 day
  • 45.6%
    Since Inception
    June 27, 2012
Monthly vs S&P500
philip trinder - mlp protocol sprint
22.5% S.I.
  • $30,000 subscription min
  • 1.5% fee

Replicability

95.5%
4.5%
  • Replicable
  • Non-replicable

Holdings are only visible to subscribed clients.

If you'd like to discuss this model, contact client relations at 1.866.825.3005.

Model commentary

  1. QR Energy's stock offered value and we pounced

    8 April 2013

    Even in a bull market, stocks can be mispriced.

  2. CVR Refining is poised to ride the shale boom 3 February 2013
  3. New taxes, corporate dividends and MLPs 3 January 2013
  4. The fiscal cliff's shadow over energy MLPs 11 December 2012
  5. Meet Philip Trinder, MLP expert and new Covestor manager 30 November 2012

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Performance detail

  • Manager
  • Alerian MLP
  • S&P 500

Performance

Inception June 27, 2012
as of June 17, 2013 Manager Alerian MLP S&P 500 Average Subscriber
Past 30 days 1.2% -2.1% -1.7% 1.4%
Past 90 days 3.7% 4.1% 5.9% 2.9%
Since Inception 45.6% 22.0% 23.1% -
2013 (YTD) 16.9% 16.7% 14.9% -

Risk Metrics

Since Inception
as of June 17, 2013 Manager Alerian MLP S&P 500
Best 30 days 12.3% 13.1% 8.2%
Worst 30 days -9.7% -10.3% -7.0%
Volatility 17.0% 12.9% 12.1%
Sharpe Ratio 2.74 1.74 1.94
Sortino Ratio 3.76 2.76 3.02
Maximum Drawdown -11.2% -10.8% -7.7%
Value-at-risk (95%, 1 week) -3.9% -3.0% -2.8%
vs. Alerian MLP vs. S&P 500
Information Ratio 1.77 1.65
Alpha 23.3% 22.4%
Beta 0.80 0.81
R-Squared 0.37 0.34
  • $30,000 subscription min
  • 1.5% fee

Transactions are only visible to subscribed clients.

If you'd like to discuss this model,
contact client relations at 1.866.825.3005.


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. The performance charts are provided for informational purposes only, and should not be used as the basis for making an investment decision. Variables such as corporate actions or foreign exchange may affect daily performance displays. We rely on mathematical formulas, computer programs, and pricing information from third-party vendors to provide these returns. Neither Covestor nor any of its data or content providers shall be liable for any errors in this information or any actions taken by you in reliance upon this information.

6. 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

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

8. 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.

9. 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.

10. 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.

11. 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/Dow Jones Indices LLC, a subsidiary of The McGraw-Hill Companies Copyright © 2013.