I dug into my computer files and updated the trading models I last used 10 years ago. One of them which is fairly simple flashed a strong warning sign at the January high in the market. It does tend to have false positives where it is fooled by a very strong trend into thinking that that is a top in the market, but this time the market actually did fall of course after the warning. This is a very negative signal. There was a minor buy signal at the recent low about a week back but there are typical several buy signals on the way down in bear markets. I had been looking for signs of a recession before taking de-risking action in a big way on our portfolio - for example, an inversion of the yield curve. There hasn't been any sign of a recession. But Trump's trade war and the Fed's unwinding of its inflated balance sheet are having a negative effect on the market.
I have another much more complex model that attempts to forecast the day ahead direction of the market - despite what standard investment theory says, that the stock market is a random walk and can't be predicted this is actually possible to some degree with some insight from econometrics into how to turn it into a predictable problem. I updated the model using the last ten years of data and reoptimized the parameters - they hardly changed. That is a good sign. However, though I have all the past predictions and the trade directions I decided on based on them, I can't remember how I used the model to actually choose market direction. Unless I can find something I wrote about that, I'll have to reverse engineer that from scratch.
P.S.
I found a folder of handwritten research notes on my trading model from 2006-8 in my home office. This should help a lot.
P.P.S.
I predict the US will go into recession in 2019. In 2007 the stock market peaked in Summer-Fall but the recession didn't really get started till Bear-Stearns failed in March 2008. In 1999-2000 the stockmarket peaked in March 2000 but the recession didn't really get going till September 11, 2001.
Saturday, April 07, 2018
Friday, April 06, 2018
Types of Trading
There are lots of types of trading. Some of the important strategies are the following:
1. Market-making: A market maker profits from the bid-ask spread in the market, selling at the ask and buying at the bid. This is very apparent in options markets where there is usually a big bid-ask spread. They can hedge their "delta" risk by buying or shorting the underlying security - for example for futures options they can buy and sell futures contracts. For individual stocks - if they are trading a diversified basket they can again hedge using futures contracts (or ETFs). It is possible for individual investors to make markets in small and illiquid stocks - ie. selling at the ask and buying at the bid, but it is a very slow process waiting for people to trade with you.
2. Arbitrage: This exploits pricing anomalies, for example between futures contracts and ETFs for the same underlying index. Short one and buy the other. Occasionally, there are big arbitrage opportunities such as the famous Palm case.
3. Mean reversion: These are generalizations of arbitrage. For example, buying closed end funds (listed investment company in Australian) when they are selling below net asset value and shorting them when they are above. I've done this quite a lot with Platinum Capital (PMC.AX - just selling when above NAV - but actually there is a CFD you could use to short the stock). This is arbitrage between the value of the portfolio and the price of the fund. Statistical arbitrage is a market-neutral mean reversion trade where stocks that have risen in value are shorted and those that have fallen are bought. It was pioneered by Ed Thorp.
4. Selling option premium: This relies on the time decay of options. Most options expire worthless and risk aversion means that buyers should pay in net to reduce their risk. So option sellers should on average win. Again, delta risk could be hedged away in theory. The simplest case is covered calls where the trader buys a stock and sell a call - though actual delta hedging is a lot more complex than that.
5. Information trading: Here the trader knows information that they think will move the security. For example, recently I bought shares in IPE because Mercantile did. I assumed correctly that their analysis must have shown that the underlying portfolio was worth more than the stock price. This is a kind of mean reversion/arbitrage of course and is could also be seen as investing. Even after the company released news of the sale of Threatmetrix to Elsevier, the price didn't immediately move to the new higher NAV.
6. News trading: Here the information is not yet known but a trade is placed to take advantage of it. For example, if I know that Apple Computer will release their earnings but I don't have a hypothesis of which way it will move the stock, I could buy both calls and put options in the hope that a big move will make one increase by more than the other decreases. This seems pretty close to gambling - option prices should take into account the size of likely moves, so you are gambling that the move will be bigger than the market thinks.
7. Trend following/momentum trading: This is what most people think of as trading. The trader tries to take advantage of market momentum. This is the approach taken by many managed futures funds. Much online trading advice is based on this.
8. Hedging: These traders trade to hedge their investment or business positions. For example, an airline buying oil futures contracts to guarantee their future price of oil or an option buyer hedging an investment portfolio. The latter might also sell options to fund the hedging puts.
What have I missed? This paper has an interesting discussion of types of traders.
1. Market-making: A market maker profits from the bid-ask spread in the market, selling at the ask and buying at the bid. This is very apparent in options markets where there is usually a big bid-ask spread. They can hedge their "delta" risk by buying or shorting the underlying security - for example for futures options they can buy and sell futures contracts. For individual stocks - if they are trading a diversified basket they can again hedge using futures contracts (or ETFs). It is possible for individual investors to make markets in small and illiquid stocks - ie. selling at the ask and buying at the bid, but it is a very slow process waiting for people to trade with you.
2. Arbitrage: This exploits pricing anomalies, for example between futures contracts and ETFs for the same underlying index. Short one and buy the other. Occasionally, there are big arbitrage opportunities such as the famous Palm case.
3. Mean reversion: These are generalizations of arbitrage. For example, buying closed end funds (listed investment company in Australian) when they are selling below net asset value and shorting them when they are above. I've done this quite a lot with Platinum Capital (PMC.AX - just selling when above NAV - but actually there is a CFD you could use to short the stock). This is arbitrage between the value of the portfolio and the price of the fund. Statistical arbitrage is a market-neutral mean reversion trade where stocks that have risen in value are shorted and those that have fallen are bought. It was pioneered by Ed Thorp.
4. Selling option premium: This relies on the time decay of options. Most options expire worthless and risk aversion means that buyers should pay in net to reduce their risk. So option sellers should on average win. Again, delta risk could be hedged away in theory. The simplest case is covered calls where the trader buys a stock and sell a call - though actual delta hedging is a lot more complex than that.
5. Information trading: Here the trader knows information that they think will move the security. For example, recently I bought shares in IPE because Mercantile did. I assumed correctly that their analysis must have shown that the underlying portfolio was worth more than the stock price. This is a kind of mean reversion/arbitrage of course and is could also be seen as investing. Even after the company released news of the sale of Threatmetrix to Elsevier, the price didn't immediately move to the new higher NAV.
6. News trading: Here the information is not yet known but a trade is placed to take advantage of it. For example, if I know that Apple Computer will release their earnings but I don't have a hypothesis of which way it will move the stock, I could buy both calls and put options in the hope that a big move will make one increase by more than the other decreases. This seems pretty close to gambling - option prices should take into account the size of likely moves, so you are gambling that the move will be bigger than the market thinks.
7. Trend following/momentum trading: This is what most people think of as trading. The trader tries to take advantage of market momentum. This is the approach taken by many managed futures funds. Much online trading advice is based on this.
8. Hedging: These traders trade to hedge their investment or business positions. For example, an airline buying oil futures contracts to guarantee their future price of oil or an option buyer hedging an investment portfolio. The latter might also sell options to fund the hedging puts.
What have I missed? This paper has an interesting discussion of types of traders.
Tuesday, April 03, 2018
First Futures Trades Since 2008
I transferred some money from my Australian bank account to Interactive Brokers to do some practice trades. I haven't traded futures since 2008 and so just want to get used to doing trades again. I did 2 very quick daytrades, shorting the E-Mini S&P. The first trade I got out where I got in and so I lost $4.10 the cost of commissions. On the next trade I made 1 point or $50, so I made $46.90 net. I was very nervous while doing the trades even though I am trading with a stop that is transmitted at the same time as my order and is only one point above my sell price, so the most I can lose is $50. The contract value is $130k (about my pretax annual salary :)), so short selling that much stock does make me feel nervous despite the stop. I've just got to get used to this again as I am thinking of doing more systematic trading again and doing it properly this time. When I traded before, I had lots of winning trades but my winning amounts were small relative to my losing amounts. If I can fix that I could trade profitably.
March 2018 Report
The first of the new style reports. A second losing month, but thanks to (listed) private equity investments, we beat the ASX200 index.
The Australian Dollar fell from USD 0.7794 to USD 0.7680. The MSCI World Index fell 2.15%, and the S&P 500 2.54%. The ASX 200 lost 3.77%. All these are total returns including dividends. We lost 1.20% in Australian Dollar terms and 2.64% in US Dollar terms. So, we outperformed the Australian market and underperformed international markets.
The best performing investment in dollar terms was IPE.AX, a listed private equity fund, which gained AUD 9.8k in the continuing rise after the acquisition of Threatmetrix by Elsevier. I sold my holding in IPE prior to the stock going ex dividend, as I didn't want an AUD 11k income tax bill. I then bought back even more shares than before as MVT.AX were recently still acquiring shares.
The worst performer in dollar terms was not surprisingly CFS Geared Share Fund, down $18.6k. The best performing asset class was private equity, which gained 7.12%. The only other asset class with gains was hedge funds, up 0.57%. The worst performing asset class was large cap Australian stocks down 3.01%.
We made a little progress towards the new long-run asset allocation:
Total leverage includes borrowing inside leveraged (geared) mutual (managed) funds. The allocation is according to total assets including the true exposure in leveraged mutual funds. The "improvement" in allocation, came partly due to market movements and partly due to investment activity. We invest AUD 2000 monthly in a set of managed funds, and there are also retirement contributions. Then there are distributions from funds and dividends. During the month, I also:
The Australian Dollar fell from USD 0.7794 to USD 0.7680. The MSCI World Index fell 2.15%, and the S&P 500 2.54%. The ASX 200 lost 3.77%. All these are total returns including dividends. We lost 1.20% in Australian Dollar terms and 2.64% in US Dollar terms. So, we outperformed the Australian market and underperformed international markets.
The best performing investment in dollar terms was IPE.AX, a listed private equity fund, which gained AUD 9.8k in the continuing rise after the acquisition of Threatmetrix by Elsevier. I sold my holding in IPE prior to the stock going ex dividend, as I didn't want an AUD 11k income tax bill. I then bought back even more shares than before as MVT.AX were recently still acquiring shares.
The worst performer in dollar terms was not surprisingly CFS Geared Share Fund, down $18.6k. The best performing asset class was private equity, which gained 7.12%. The only other asset class with gains was hedge funds, up 0.57%. The worst performing asset class was large cap Australian stocks down 3.01%.
We made a little progress towards the new long-run asset allocation:
Total leverage includes borrowing inside leveraged (geared) mutual (managed) funds. The allocation is according to total assets including the true exposure in leveraged mutual funds. The "improvement" in allocation, came partly due to market movements and partly due to investment activity. We invest AUD 2000 monthly in a set of managed funds, and there are also retirement contributions. Then there are distributions from funds and dividends. During the month, I also:
- Sold out of Clime Capital (CAM.AX)
- Bought a small amount of Oceania Capital Partners (OCP.AX, listed private equity)
- Did the trading in IPE.AX
- Bought more units in the Winton Global Alpha fund (managed futures - in the commodities category)
Over time we've been reducing our exposure to large cap Australian stocks since the post financial crisis high:
Subscribe to:
Posts (Atom)