great questions -- out of town atm, but will get to these tomorrow
Hi
12)
26) You claim to achieve ~60% win/loss ratio. What long-term win/loss ratio is considered excellent within equity HF industry?hi
Would you mind elaborating on this? Are you saying that alpha only can come from superior analysis/information, otherwise it's just luck? Isn't timing a very big part of trading even if you have the right analysis (market staying irrational ...)?If your pnl comes from market timing, that is still beta (which most people do not understand!).
How do you deal with periods when everything just goes up? Do you just reduce short exposures?If I'm long A and short B, then a market sell off won't really impact my portfolio pnl much. The concept of long/short trading is to (at minimum) remove (or manage) the market factor.
Could you please explain where you think your edge comes from? Is it your analysis that is better than the street? Or is it that you can see the discrepancy between what the street is pricing in(the story they paint) vs. what your analysis shows and you fade that?Yep I'd say even less actually. If you can cover 3-5 stocks (their peers, up and down the value chain, etc.) then you will develop edges due to the slow diffusion of information, logistical/liquidity premias,
Timing itself not “excess returns” of the benchmark. E.g. if you bought the dip then you’re still getting the returns of the asset and your performance isn’t superior to anyone else who also bought the dip. That’s not to say that beta timing isn’t profitable — it is, it’s just not alpha, defined as excess returns (over the benchmark through the same period of time).Would you mind elaborating on this? Are you saying that alpha only can come from superior analysis/information, otherwise it's just luck? Isn't timing a very big part of trading even if you have the right analysis (market staying irrational ...)?
I have a degree of flexibility on my beta exposure but typically don’t exceed 0.20 beta. The returns that I seek don’t exclusively come from the market, and usually come from a spread between certain characteristics that generate excess returns (alpha). The underlying source of alpha can be 3-8%, and I use leverage, size, and timing to increase that. I also try to time beta but don’t confuse it with alpha.How do you deal with periods when everything just goes up? Do you just reduce short exposures?
Have you had situations/periods when your longs go down and your shorts go up? How do you deal with such situations?
The general strategy is focused on a few drivers of excess returns, with a workflow/process that tries to enhance it. Wall Street analysts provide their research to a wide variety of investors and traders, and so they will know more about a stock than I will. However, if I replicate their analysis, I can react quicker to new material information (which drives a source of alpha returns I seek). One of the sources of alpha has a time horizon of 5-10 days, and the other about 20 days, but both can create momentum that lasts for 60-120 days.Could you please explain where you think your edge comes from? Is it your analysis that is better than the street? Or is it that you can see the discrepancy between what the street is pricing in(the story they paint) vs. what your analysis shows and you fade that?
Thanks!
And that is the only true edge in trading.It's not how you define risk it's how you control it.
Market gyrations have been tough. I did not do much in the first 4-6 weeks, but picked up trading activity in May and June.39) >>Was up nearly 10% in q1 with a sharpe of 2.
How is your l/s equity ptf doing given recent market gyrations? Would you share a screenshot with us for 2022?
Mainly the volatility in returns during that period.40) >>I generate absolute unlevered returns averaging high single digits targeting a market beta of 0 and a 2.5+ Sharpe ratio.
In your earlier post you claim to average sharpe of 2.5+. How do you explain slightly lower sharpe of 2 for q1 2022? Don't get me wrong, I'm not mocking you, sharpe of 2 is excellent!
FOMC meeting. My process is top-down, so macro drives much of my idea generation and trading. In this case, I was trading specific outcomes (FOMC meeting), and got lucky in that I quickly switched to position when the 75bp came out.41) >>This q has been ok, fairly flat for me so far, but I expect things to pick up around June
Why June? Do you expect that start of next round of earnings will cause drift in factors that you trade? And/or do you expect changes in macro backdrop during June which should affect your factors?
Yes, semis = semiconductors. Enterprise means cloud, cyber, analytics, etc.42) >>and have been bottom fishing tech (semis and enterprise).
I presume "semis" means semi-conductors but what do you mean by "enterprise"?
I'm less confident in my outlook. We're in a period of time where it is hard to make predictions about the next 4 weeks, much less than next 3 or 6 months.43) You said prior year 2020 you ran your l/s equity ptf with a lot more beta than now.
I'm wondering why you did that as opposed to being more beta neutral?
Did you have a macro view that supported this decision or was it just "experiment"?
Were your catalysts and/or factors you traded pre-2020 different than now?
My idea generation is primarily top-down. I build a view on growth, policy, and inflation which is used to establish scenarios for rates, FX, equities, and commodities. I take the next step of applying this across risk factors (duration, distressed, quality, etc.). I then use economic indicators, with those risk factor views, to identify potential industries. From there, I build a coverage list and conduct bottoms-up analysis (review each company, analytics, etc.) for trading ideas.44) Having read your posts you seem to put a lot of emphasis on macro so I'm wondering if you run macro ptf along side of your l/s equity ptf?
Macro is sexier but harder than equities, mainly because of the nature of data and the uncertainty around events and unknowns.45) Do you find trading macro more difficult than equities? What is consensus on this within HF industry?
I start from the street view and then explore it from there. In many cases I follow consensus, in some I don't. I generally trade when there's a divergence in views.46) When you are "developing" a macro view do you tend to align with the street consensus view or you always think for yourself?
It's not very actionable but it is helpful. Macro analysts are like journalists -- their work ensures that the market remains, generally, informed. However, their analysis is typically superficial and doesn't delve deep enough for the kind of returns you need to seek as a professional investor.47) What do you think of macro research of bulge bracket macro analysts in terms of quality and actionability?
Capex is quite cyclical -- it ties into nonresidential fixed investment in the GDP calculation. It is generally more durable than retail or consumer demand, and can be an important adversity signal.48) Generally speaking, do you find CapEx demand to be less sensitive to economic cycle than consumer/retail demand?
It really depends. Good capex expands capacity and output while reducing costs. Bad capex doesn't do this. Broadly speaking, capex leans to the former -- so capex is a good signal at the macro level, but a bad signal at the micro level.49) Generally speaking, do you agree when firm reduces capital expenditures that this tends to improve firm's short term earnings but may impair future/long-term growth and earnings as such firm isn't investing into asset renewal and r&d?
I think the market generally agrees. Most professionals use EBITDA or FCF multiples, and guidance around FCF is probably the biggest impact to revisions.50) I believe that from deeply fundamental point of view free cash flow is more indicative of a company "well-being"than earnings but markets seem to be paying more attention to earnings. Why is it so?
Depends on the macro regime. Generally, most of my trades are around earnings seasons (from a volume standpoint). However, PnL can actually accelerate post earnings season if the macro regime shifts or stabilizes.51) As earnings and guidances are released four times a year and takes about a month until majority of companies report that means there are about two months without major micro catalysts every quarter. Do you see this seasonal pattern in your pnl? In other words do you generate most of your pnl during high earnings season?
To be frank, I could probably replicate my stack using google search and excel. However, I would not have the time to cover all that I do. For this, Bloomberg is probably the most useful, followed by visible alpha / alphasense, etc.52) What service in your opinion is the best value (price/quality) when it comes to equity research?
Probably alphasense. I use it to create recurring searches, cover industries, etc. It significantly speeds up my research process.53) What gives you the best bang for a bug of all research products/services you regularly pay for aside of BBG terminal?
Not critical but very nice to have. I should note that Bloomberg has been improving their search and analytics tools (DSCO GO), and so Alphasense might struggle once BBG search hits parity.54) Do you find AlphaSense critical to your research? If you didn't use this service would it impact your pnl?
Trade on it! Seriously. The only equity research worth reading is bulge bracket stuff because those analysts have direct relationships and massive budgets (for all sorts of data and tools). They are effectively paid to not trade on their research.56) Could you briefly outline what would be the best path for an individual outside of the industry to monetize his own equity research assuming such individual would be highly motivated and talented?
There are quite a few niche and smaller shops out there, and their value-add is coverage of less known companies, primarily SMID caps (small and mid caps). There are a few sector specialists too. I occasionally read research from those people, but the value for me is only there if they previously worked in that industry and have private survey's among their ex-peers.57) Even though I haven't looked around yet I bet there must be good amount of smaller shops/entities that provide niche equity research, right? Assuming they provide high quality research with good signal/noise ratio how much they typically charge per report/trade idea?
Who would be their typical clients buy-side or sell-side or someone else? Do you think this is lucrative market to be in or this is tough business with fierce competition and profits/margins under pressure?
Sell side doesn't read research, they create it. Buy side research is mixed, but larger firms have very structured research teams which emphasis internal research over outside/third party work. I don't recommend trying to write research professionally unless you have a very distinct edge and someone is paying you to NOT trade on your ideas.58) If one is to research a company and create a research report is it neccesary to tailor such report based upon whether the target customer is buy-side or sell-side? If so, what would be the key differences?
I do! Beta tilts are important because hedging is imperfect. I can also offset a beta tilt with options.59) You said that even though you run l/s beta neutral ptf you tend to tilt your ptf beta from zero to slightly positive when markets are trading in low vol regime with bullish bias. I'm wondering if you also tilt your ptf beta to slightly negative if markets are in higher vol bearish regime?
No, that is more useful for statistical arbitrage and less so for fundamental equity.60) Do you examine cointegration/correlation characteristics of each leg of a pair before opening a new position?
That's pretty much it. I run small marginal trades almost every day also based upon trading performance and a few signals I use for inter-period returns.61) What reasons make you rebalance your ptf? I can come up with the following:
- when a position in your ptf exceeds certain weghting threshold
- when you add/cut size upon increase/decrease in conviction of your thesis
- change in beta coefficients
Daily...I run risk in the morning and after close, and in real-time during the day.62) How often do you "crunch numbers" to see if you need to rebalance your ptf (daily/weekly)?

since my average holding period is 20-30 days, that tends to be the lookback period I use. There are a few optimization techniques you can use to help identify the right number of periods (see: BIC optimization).63) Can you elaborate what lookback period you use to calculate beta coefficients for a particular l/s pair?
Yes, in my dd I look at all the factors I know that could move a stock within a certain range. SI is a big risk. Borrowing costs are less important because I can structure the trade in options.64) When you are researching a stock for short leg do you consider short interest and cost of borrowing?
Industry specific -- usually around 5. Across industries -- around 8.65) How many l/s pairs do you typically have in your l/s equity ptf?
About a month.66) How long do you on average hold positions in your l/s equity ptf?
Yes, typically based upon a catalyst calendar. But I also review things weekly from that standpoint ("do I want this risk?").67) Do you have a hard time limit to close your position if it does not start performing within certain number of days (e.g. it's trading sideways)?
I try to limit my cash weight to below 5%, however, technically speaking, cash in the portfolio can be very depending on the beta spread within my port (I might be far more short than long to equal 0 beta). Also: I am rarely actually 0 beta. I strive to be within +/- 0.1 to 0.2 but on a tick by tick basis it changes. So market neutrality is more of a goal than a reality.68) Do you strive to be fully invested or you always keep some cash on-hands for whatever reasons (spare cash for new trade ideas, clients redemptions, etc.)?
ETFs are lazy! And less returns.69) See question 14.
>> me: you've found a good stock to go short but you cannot find a good peer stock to go long, so you'd use sector ETF or market ETF as long leg, correct?
>> l/s: I hate to do this, but sometimes yes. I'd say about 25% of the time, especially if it is a very short-term catalyst.
Why do you hate doing it this way? Is it that if you hedge with broad market ETF or sector ETF you are not generating alpha with capital allocated to ETF positions?
start with value factor and momentum, as they are the most widely researched.70) Which factors would you recommend to rookies to start with?
Use factors at the macro level. For example, you may have a view that value will outperform momentum. This means you will want to buy high value stocks and sell high momentum stocks.71) Do you suggest trading the same factors with opposite dynamics on both legs of a l/s pair? Or is it better choosing different factors for each leg of a l/s pair with prospect of them drifting apart?
- mainly negative, would trim or exit the position after corroborating vs. peers and end-markets.72) How do you respond if you hold a position in a company and the following news hit the wire:
- the company postponed earnings announcement. Do you tend to read this that earnings may be worse than expected?
- the company announced unexpected change of CEO
- the company is taking part in M&A
- the company announced stock split
Either of these events may cause price of stock to move substantially and may catch you on the wrong side of the market.
Mean-reversion means a stock is going up and down around a central tendency. If that is the basis of your trade, your thesis is rejected if the stock breaches the range it tends to travel.73) >>Use tight risk management on mean reverting trades, and looser risk management on trend following trades
Can you briefly outline how a market pro would approach designing tight risk management on mean reverting trades vs loose risk management on trend following trades?
US vs Europe vs Japan vs China etc. Money flows to where it is treated best.74) >> xxx: You mean the stock market doesn't care about interest rates or what the fed does?
>> l/s: The stock market does care because relative interest rates impact gdp growth and corporate profits.
What do you mean by relative interest rates in this context?
Yes it's the simple gordon growth model.75) Can you help me clarify this formula "P=cf/r-g" you posted in question #5 and #17 above? I assume the formula is meant to be used in this manner cf/(r-g) and not (cf/r)-g, correct? What are individual components?
P - price
cf - cash flow
r - interest rates, correct? - Which bond tenure do you tend to use (10-year)? Nominal or real yield? Do you use different tenure for growth and value stocks?
g - I'm not sure here. Do you mean GDP growth rate? If, so do you mean real or nominal?
I think a manager must seek truth in their performance, which means using a variety of metrics consistently.76) Sharpe vs Sortino
- I'm wondering if within HF industry is one preferred/superior over the other? If so, why?
- Does usage of one or the other varies with HF strategy (macro, long-bias equity, market neutral long-short equity, CTA trend following)?
- As both can be gamed (e.g. using monthly returns as opposed to daily returns) I'm wondering what is within HF industry considered sound/honest practice of calculating these metrics?
- Some retail punters tend to favor sortino as it disregards volatility on the up-side and volatility on the up-side is considered by retail traders a good thing. Your thoughts?
Adverse selection is not a risk a trader takes. It's a risk a market maker takes.77) If trader wants to reduce transaction costs and execute order quickly he can place limit order close to or at best bid/ask hoping order will get hit thus saving bid/ask spread. Doing so many times over long period of time (think of law of large numbers) I'm not sure whether limit orders will be hit more often by random or informed orderflow? If the latter is true then limit orders are adversely selected by informed orderflow and I'm wondering whether there is actually a net positive financial effect for a trader?
To some degree yes (Indexing and Stock Price Efficiency - Qin - 2015 - Financial Management - Wiley Online Library)78) Do you think that ascent of passive investing makes markets less efficient because passive investors' capital is not effectively allocated? If so, then there should be more and more opportunities for stockpicking going forward, right?