Jeremy Zhou Profile Picture Individual Investor

Jeremy Zhou

Director of Healthcare and Research,Financial Services

  • Education UC Berkeley
  • Qualifications BS Nutrition & Toxicology; Masters of Public Health; Registered Dietitian; CFA Charterholder
  • Investment Experience 10 years

Biotech and Medtech

The U.S. healthcare industry, particularly Biotech and MedTech, is the core investment universe of my strategy. I use a combination of top-down and bottom-up fundamental analysis to evaluate potential opportunities and risks, with macro-factors primarily employed for sector allocation and rotation, and company-specific factors used for individual stock selection and weighting. Five key variables drive my valuation and assessment of the risk/reward profile for individual companies: balance sheet health, competitive landscape, pipeline status, product lifecycle, and clinical/regulatory catalyst events.
I use a combination of top-down and bottom-up fundamental analysis to evaluate potential opportunities and risks, with macro-factors primarily employed for sector allocation and rotation, and company-specific factors used for individual stock selection and weighting. Five key variables drive my valuation and assessment of the risk/reward profile for individual companies: balance sheet health, competitive landscape, pipeline status, product lifecycle, and clinical/regulatory catalyst events.
I begin with idea generation through screens, news filtering, corporate action monitoring and daily reading. I then evaluate promising ideas and rank them based on risk/reward profile. Payoff calculation involves approximating the intrinsic value of the company relative to its current price, while probability of success involves due diligence on some or all of the five key variables: balance sheet health, competitive landscape, pipeline status, product lifecycle and clinical/regulatory catalyst events.
My long-only portfolio allocation is primarily driven by two techniques: Fractional Kelly Criterion and Position Limit. I determine initial stock weighting by potential payoff and probability of success, which are inputs to calculating Kelly Criterion. I use position limit for rebalancing and risk management, where 10% to 15% is the maximum threshold for any single stock position in the portfolio. In addition, I use rebalancing techniques depending on whether the market is in trending or oscillating mode. Typically, the portfolio seeks to diversify across 25-30 positions. I do not anticipate high turnover in the portfolio.
I enter most trades with specific catalyst events and time horizons that I believe will lead to the closing of the valuation gap between current price and intrinsic value. I sell after the catalyst events happened, or if the catalyst events are no longer valid. Selling can also be triggered when positions reach full or over-valuation, even if catalyst events have not yet occurred.
The strategy described above takes advantage of several fundamental inefficiencies that persist in the U.S. healthcare industry. If there’s any significant change to U.S. policy involving drug/device pricing and reimbursement, this strategy may lose its edge and would require modification.

Risk score

3
11.9%

Best 30 days

-26.4%

Worst 30 days

Performance

  • 1.5%
    30 day
  • 4.3%
    90 day
  • 22.9%
    365 day
Monthly vs S&P500
jermey zhou - biotech and medtech
-2.9% 12 months
  • $20,000 subscription min
  • Margin account required
  • 2% fee

Replicability

100.0%
  • Replicable

Top 5 Holdings View all

39.8%
15.7%
13.6%
8.0%
7.9%

Model commentary

  1. Simple trumps complex for biotech stock investing

    3 November 2012

    Here are the core questions I ask when valuing biotech stocks.

  2. Anatomy of a Biotech Trade: Transcept Pharmaceuticals 24 September 2012
  3. How I approach biotech investing 16 April 2012
  4. My top 10 money lessons from 2011 20 January 2012
  5. What Steve Jobs teaches us as investors 13 October 2011

show more


Performance detail

  • Manager
  • Russell 2000
  • S&P 500

Performance

Inception January 17, 2011
as of June 17, 2013 Manager Russell 2000 S&P 500 Average Subscriber
Past 30 days 1.5% -0.8% -1.7% 1.4%
Past 90 days 4.3% 4.8% 5.9% 3.9%
Past 365 days 22.9% 28.1% 22.1% 20.8%
Since Inception (Annualized) 8.5% 8.7% 10.3% -
2013 (YTD) 18.3% 16.3% 14.9% 17.5%
2012 14.4% 14.6% 13.4% 13.9%

Risk Metrics

Last 365 days
as of June 17, 2013 Manager Russell 2000 S&P 500
Best 30 days 11.5% 10.5% 8.2%
Worst 30 days -5.5% -7.9% -7.0%
Volatility 14.2% 15.6% 12.4%
Sharpe Ratio 1.61 1.79 1.77
Sortino Ratio 2.90 2.57 2.65
Maximum Drawdown -6.7% -11.0% -7.7%
Value-at-risk (95%, 1 week) -3.3% -3.6% -2.9%
vs. Russell 2000 vs. S&P 500
Information Ratio -0.34 0.06
Alpha 10.2% 10.8%
Beta 0.44 0.53
R-Squared 0.24 0.21
  • $20,000 subscription min
  • Margin account required
  • 2% fee

Latest transactions view all

Average trades per month 7.2
Executed Symbol Security Replicable Type Price
05/22/13 TSPT TRANSCEPT PHARMACEUTICALS INC Yes Sell $3.00
05/01/13 AMRN AMARIN CORPORATION PLC -ADR Yes Buy $7.28
04/30/13 DCTH Delcath Systems Inc Yes Sell $1.12
04/24/13 TSPT TRANSCEPT PHARMACEUTICALS INC Yes Buy $3.99
04/17/13 ABT Abbott Laboratories Yes Buy $37.32
04/12/13 FURX Furiex Pharmaceuticals Inc Yes Sell $34.66
04/08/13 FURX Furiex Pharmaceuticals Inc Yes Sell $35.35
04/08/13 DCTH Delcath Systems Inc Yes Buy $1.67


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.