Dickenson Bay Capital Profile Picture Investment Adviser

Dickenson Bay

Dickenson Bay Capital

  • Education MBA, University of Toronto
  • Qualifications Chartered Financial Analyst
  • Founded 2009

Macro Yield

The Macro Yield portfolio is comprised mainly of yield-focused instruments to generate income and meet capital preservation objectives. We employ structural, market, and macroeconomic analysis while leveraging the research, analysis, and insights gained from our Special Situations strategies. In addition to fixed income securities, investments may include other yield securities such as preferred and trust preferred shares, and common shares. The strategy seeks a mid-single digit annualized return net of fees.

Many of the Macro Yield strategy’s investments are in stocks that may be mispriced due to corporate actions such as spinoffs, restructurings, mergers, or IPOs.

The strategy may purchase inverse ETFs when our research reveals what we believe are unreasonable growth or earnings expectations. Inverse ETFs may also be utilized in an attempt to protect against macroeconomic and tail risks such as slowing global growth and geopolitical instability, as well as other events that we believe may cause market declines.
We utilize a fundamental value-focused investment approach with a focus on securities with yield. We primarily employ structural, market, and macroeconomic analysis but also leverage the research, analysis, and insights gained from our event-focused strategies.

The firm performs strategic and financial analysis to determine if it believes securities are mispriced. Research and analysis is aimed at gaining insights that contribute to the formation of an investment mosaic, which helps us gain conviction around value, events, and catalysts.
We have developed comprehensive proprietary models to guide our position sizing decisions. Each investment idea is ranked for attractiveness on the basis of proprietary measures versus all current and prospective investment ideas. Fundamental analysis is critical to managing risk, including understanding the impact of specific risks and exposures on positions. We develop an investment thesis and models that include comprehensive valuation analysis, operating leverage, and sensitivities to key drivers. We believe that appropriate position sizing is an important component of managing risk.

We gather and apply insights from discussions with company management, competitors, suppliers, customers, and consultants. Investments are continuously evaluated relative to the original thesis, as well as all investment ideas in the portfolio and under consideration.
We seek a mix of equities (common and preferreds), ADRs, and ETFs that provide yield income. Our target is to have 20-30 core long positions (including ETFs), and when appropriate, 0 to 10 short positions.

Generally, the Macro Yield strategy has a high level of diversification due to the significant use of exchange traded funds that are comprised of multiple underlying securities and low levels of concentration in individual common and preferred stocks.

We may alter portfolio exposures based on the attractiveness of investment opportunities and the opinions of the Portfolio Manager regarding the general investment environment. We may utilize higher cash balances to protect the portfolio against market declines.

If we are fully invested, new positions must have a better volatility adjusted risk / reward ratio and upside and conviction levels than existing positions. If we are less than fully invested, the volatility adjusted risk/reward ratio must exceed our minimum threshold in order for new positions to be created.
We close positions based on the occurrence of a prospective event (positive or negative), valuation levels, and may also close positions based on price momentum or technical analysis.

We seek to minimize the probability that large losses will develop without frequent reassessment by the Investment Manager, and to manage risk through alternative forms of investment where appropriate.

Position level risk is generally managed by:

1.  Dynamically monitoring securities prices.

2.  Re-evaluating the attractiveness of opportunities and risks as securities prices approach tolerance levels.

3.  Soft stop-loss limits: Although we firmly believe that our expertise lies in fundamental security analysis, we believe that the use of soft stop-loss provisions, which we can change based upon market conditions, may help minimize the cost of mistakes.
None.

Risk score

3
Leverage: 1.59
8.6%

Best 30 days

-9.3%

Worst 30 days

Performance

  • -2.1%
    30 day
  • 3.8%
    90 day
  • 27.8%
    365 day
Monthly vs S&P500
dickenson bay capital - macro yield
4.3% 12 months
  • $50,000 subscription min
  • Margin account required
  • 2% fee

Replicability

100.0%
  • Replicable

Top 5 Holdings View all

10.9%
10.0%
9.7%
8.8%
-59.3%

Model commentary

  1. Karim Mawji's Special Situations, investing for yield: "I'm not afraid to go to cash"

    9 April 2013

    A Q&A with the new Covestor manager.

show more


Performance detail

  • Manager
  • Dow Jones Moderate Conservative
  • S&P 500

Performance

Inception March 04, 2009
as of June 18, 2013 Manager Dow Jones Moderate Conservative S&P 500 Average Subscriber
Past 30 days -2.1% -0.9% -0.9% -2.3%
Past 90 days 3.8% 1.1% 6.0% 2.9%
Past 365 days 27.8% 9.2% 22.8% -
Since Inception (Annualized) 12.5% 12.5% 21.6% -
2013 (YTD) 12.7% 3.6% 15.8% -
2012 18.9% 8.4% 13.4% -
2011 0.2% 3.0% -0.0% -
2010 6.5% 11.0% 12.8% -

Risk Metrics

Last 365 days
as of June 18, 2013 Manager Dow Jones Moderate Conservative S&P 500
Best 30 days 8.6% 2.9% 8.2%
Worst 30 days -7.2% -2.3% -7.0%
Volatility 10.0% 4.3% 12.4%
Sharpe Ratio 2.76 2.10 1.83
Sortino Ratio 3.71 3.20 2.74
Maximum Drawdown -7.8% -2.6% -7.7%
Value-at-risk (95%, 1 week) -2.3% -1.0% -2.9%
vs. Dow Jones Moderate Conservative vs. S&P 500
Information Ratio 2.70 0.90
Alpha 8.1% 9.6%
Beta 1.93 0.73
R-Squared 0.69 0.81
  • $50,000 subscription min
  • Margin account required
  • 2% fee

Latest transactions view all

Average trades per month 3.2
Executed Symbol Security Replicable Type Price
06/18/13 ZTS ZOETIS INC Yes Buy $31.01
06/18/13 CVI CVR ENERGY INC Yes Buy $54.96
06/12/13 RHP RYMAN HOSPITALITY PROPERTIES Yes Buy $33.99
06/10/13 ITT ITT CORP Yes Sell $30.07
06/10/13 LUK LEUCADIA NATIONAL CORP Yes Sell $29.33
06/10/13 TYC TYCO INTERNATIONAL LTD Yes Sell $34.24
06/10/13 BBY BEST BUY CO INC Yes Sell short $27.88
06/07/13 CSG Chambers Street Properties Yes Buy $9.41


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.

12. This model was launched on Covestor on November 26, 2012. Trading history prior to launch was audited by Covestor and is consistent with current model strategy. Manager performance incorporates this historical data. This data has not been audited by an independent firm.