Dan Plettner Profile Picture Individual Investor

Dan Plettner

Financial Services

  • Education New York University; Miami University of Ohio
  • Qualifications MBA, BS
  • Investment Experience Approximately 20 years
Secrets of a Top Performer
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MLP Direct Ownership

The MLP Direct Ownership strategy seeks to offer the long term tax-advantages of investing in Master Limited Partnerships through ownership of publicly traded MLP units.

An MLPs combine the corporate tax advantage benefits of a limited partnerships and are publicly traded on securities exchange. Most MLPs invest in natural resources, including oil  and natural gas extraction and transportation.

MLPs generally offer stable yield, as they are required by contract to pay minimum quarterly distributions to the limited partners. The potential target annual yield of my portfolio strategy is 6-7%.

My investment strategy approaches individual MLPs from a long term perspective. I seek to maximize the tax efficiencies offered by MLPs. I tend to avoid investments that I believe have excessively large incentive distribution rights to the general partner, which I see as a potential conflict of interest and a possible sign of long-term investment risks.

The MLP structure is limited by US Code to only apply to enterprises that engage in certain businesses. Most pertain to the use of natural resources (ie: petroleum and natural gas extraction and transportation).

In a space cluttered with extraordinary IDRs ("Incentive Distribution Rights" to the General Partner), the model seeks to select MLPs where management is perceived least subject to conflicted interest that hazard ordinary investors.

Tax efficiencies of MLP structures may be degraded through ETFs, ETNs, or Closed-End Funds alternatives. The model does not use ETFs, ETNs, or Closed-End Funds. The model approaches individual MLPs from a long term perspective.
Much of my research focuses on seeking long-term values. I also perform research in an effort to avoid MLPs that I believe have managerial conflicts of interest that could negatively affect returns.
I typically hold fewer than 20 individual MLP positions. The largest holding is usually smaller than 25% of the entire portfolio. My focus is on keeping exposure to long-term holdings while minimizing investment turnover.
I typically sell positions when I believe that an MLP’s risk has become greater than its potential reward.
None.

Risk score

3
17.4%

Best 30 days

-16.6%

Worst 30 days

Performance

  • -1.9%
    30 day
  • 3.8%
    90 day
  • 26.5%
    365 day
Monthly vs S&P500
dan plettner - mlp direct ownership
1.4% 12 months
  • $50,000 subscription min
  • 0.5% fee

Replicability

100.0%
  • Replicable

Top 5 Holdings View all

15.1%
12.7%
10.3%
9.6%
6.6%

Model commentary

  1. Why I'm shorting these three closed-end funds

    14 May 2013

    All three trade at unjustified premiums to their NAV.

  2. Why I'm staying with closed end funds in this market 14 March 2013
  3. What CEFs teach you about Apple stock 8 February 2013
  4. Staying long with conviction 1 October 2012
  5. Beware market sages predicting the death of equities 14 August 2012

show more


Performance detail

  • Manager
  • Alerian MLP
  • S&P 500

Performance

Inception August 02, 2010
as of June 18, 2013 Manager Alerian MLP S&P 500 Average Subscriber
Past 30 days -1.9% -1.7% -0.9% -1.9%
Past 90 days 3.8% 3.1% 6.0% 3.7%
Past 365 days 26.5% 24.7% 22.8% 25.2%
Since Inception (Annualized) 18.3% 11.2% 14.2% -
2013 (YTD) 17.6% 17.1% 15.8% 17.5%
2012 0.7% -1.2% 13.4% 0.2%
2011 13.4% 7.3% -0.0% 12.0%

Risk Metrics

Last 365 days
as of June 18, 2013 Manager Alerian MLP S&P 500
Best 30 days 11.7% 13.1% 8.2%
Worst 30 days -12.4% -10.3% -7.0%
Volatility 13.7% 13.2% 12.4%
Sharpe Ratio 1.93 1.86 1.83
Sortino Ratio 2.94 2.95 2.74
Maximum Drawdown -13.1% -10.8% -7.7%
Value-at-risk (95%, 1 week) -3.2% -3.1% -2.9%
vs. Alerian MLP vs. S&P 500
Information Ratio 0.39 0.31
Alpha 2.2% 11.0%
Beta 0.97 0.64
R-Squared 0.88 0.33
  • $50,000 subscription min
  • 0.5% fee

Latest transactions view all

Average trades per month 0.5
Executed Symbol Security Replicable Type Price
08/08/11 APU Amerigas Partners LP Yes Buy $37.79
04/07/11 APU Amerigas Partners LP Yes Sell $47.97
09/01/10 APU Amerigas Partners LP Yes Buy $43.09
09/01/10 MMP Magellan Midstream Partners LP Yes Buy $49.09
09/01/10 VNR Vanguard Natural Resources LLC Yes Buy $24.35
09/01/10 MWE MarkWest Energy Partners LP Yes Buy $33.73
09/01/10 LINE Linn Energy LLC Yes Buy $28.94
09/01/10 LGCY Legacy Reserves LP Yes Buy $22.90


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.