Target Portfoilo Performance

In October the target portfolio lost 2.83% in Australian Dollar terms. In USD terms the model portfolio lost 3.43%. This model portfolio doesn't include a proxy for private equity, as I don't know a good one. The ASX lost 6.04%. It was hard not to lose money last month. In the last 10 years the model portfolio returned 8.63% p.a. vs. 11.54% including franking credits for the ASX. In the longer term though the target portfolio ("composite") has about matched the returns on Australian shares with lower volatility:

So it's not that necessary to leverage the portfolio to get good returns. The chart shows returns in Australian Dollar terms though bond and real estate are US dollar returns to two TIAA funds invested in those sectors.

Model Performed Badly Since I Stopped Trading

Since I decided to temporarily stop trading the model has performed badly losing about 9% while the NASDAQ 100 index is down about 4%. It still gained 5% for October overall while the index was down 8.7%. I gained 18% on capital invested due to leverage. It's good I stopped trading when I did.

October 2018 Report

As I'm sure you know, this month was very volatile, which is good for trading but not for the performance of investments generally. This was a good test of our overall strategy, except that I abandoned trading after 17 October when I found the model was overfitted (and I also got ill with flu/pneumonia or something for the rest of the month). At the end of the month we received the grant of probate and so I am now adding in the inherited assets (cash and half an apartment) from the end of this month. This will suppress returns on both the upside and downside in the near future but doesn't affect the numbers for this month.

The Australian Dollar fell from USD 0.7228 to USD 0.7083. The MSCI World Index fell 7.47% and the S&P 500 fell 6.84%. The ASX 200 fell 6.04%. All these are total returns including dividends. We lost 5.30% in Australian Dollar terms and 7.20% in US Dollar terms. So, we  outperformed both Australian and international markets.


Because of the high volatility this month here is a detailed report on the performance of all investments and asset classes:

The table also shows the shares of these investments in our post-inheritance portfolio. Futures contracts are at the bottom. It doesn't make sense to compute shares or rates of return for those. Yeas, we lost a total of AUD 117k, which is our worst ever monthly result in absolute dollars. Things that worked quite well in this market crash:

• PSSAP Superannuation fund - this fell very little, by contrast with Unisuper, which surprised me.
• International hedge funds: Platinum, Tribeca, and Pershing, each did fairly well in relative terms. We should invest fully in these (12.5% is allocated to them in the model portfolio and 10% to Australian hedge funds).
• Futures: Our own futures trading worked perfectly until I stopped and Winton's downside was not too bad (better than in February), but still not performing with zero or negative correlation to equity markets. Gold rose (will be a priority to invest in it). We need to get trading working, but it will take me a lot of time to do the needed research.
• Real estate, CFS Diversified Fund etc all had more limited downside as we'd expect (estimated return for CFS Conservative Fund was negatively affected by trading).

What didn't work:

• Cadence Capital, which fits in the (mostly) Australian hedge fund category, fell sharply. 
• China Fund - this isn't surprising given the supposed drivers of the market correction.
• Yellow Brick Road - I should have sold out of this when the Mercantile offer terminated

The following is table of investment performance statistics computed over the last 60 months (extended from 36 months previously) of data:

The first two rows gives the annual rate of return and Sharpe ratio for our investment performance in US dollars and Australian dollars. The other statistics are in comparison to the two indices. Based on beta, compared to the MSCI World Index we seem to be slightly geared, while compared to the Australian index we are less sensitive to market movements. We have a positive alpha compared to the Australian and a negative alpha compared to world markets. We capture more of the up movements and less of the down movements in the Australian market and the reverse in the international markets. The fall in the Australian Dollar over this period explains the poor performance compared to international benchmarks. The rate of return in USD terms is just horrible. US markets have been super strong over this period compared to the rest of the world.



This month I made USD 6k trading futures. This is the second best result to date and occurred as the NDX declined for the month. As I stopped trading partway through the month, I won't post the usual comparison of market, model, and my own performance. There seems to be potential here, but we need a system that is robust to different market conditions.

We actually moved away from the new long-run asset allocation in quite a dramatic way with the infusion of cash:

Total leverage includes borrowing inside leveraged (geared) mutual (managed) funds. The allocation is according to total assets including the true exposure in leveraged funds. All asset classes apart from cash and real estate fell as I added the inherited assets. My share of the inherited apartment is about 6% of net worth. Australian large cap fell by more as I switched out of the CFS Geared Share Fund just before the market correction got going.  Hedge funds were boosted by the addition of Tribeca (TGF.AX), which started trading on the ASX and Pershing Square Holdings, which I made a new investment in.

We also invest AUD 2k monthly in a set of managed funds, and there are also retirement contributions. Then there are distributions from funds and dividends.

Hearts and Minds IPO Oversubscribed?

I just got an email with my allocation of shares in this IPO. It's 82% of what I requested and the settlement dates and first trading date have been brought forward. So looks like the IPO is oversubscribed and closing early.

Overfitted

When I started trying to backtest the model with my new program the performance was bad, worse than I expected and worse than backtests I'd done previously. Recent changes to the model seem to have overfit it to the recent data. Therefore, we can't rely on the model going forward. This will need thorough investigation and in the mean time I'll stop trading.

Hearts and Minds IPO

Another Australian IPO of a listed investment company (closed end fund). This one has a twist – there are no management fees and the directors have waived their fees too. Instead of receiving a fee, the managers will donate 1.5% of NAV each year to charity. The board of directors include local investing luminaries like Geoff Wilson and a long list of wealthy Australian families (such as the Lowy family) have agreed to make investments in the fund.

The fund is a long only fund investing in Australian and international stocks. Each year several Australian investment managers present at the Sohn Hearts and Minds conference their best investment picks for the coming year. 40% of the fund will be allocated to these picks. 60% will be allocated to "high conviction ideas" from a number of other "core" investment managers. In total the fund will invest in about 25 securities.

The picks from the last two conferences have done very well:

One of the core investment managers is Regal, whose hedge funds have done extremely well.

In summary, I think this looks like being another good investment opportunity.

Results for the S&P 500

These are the results of the year to date for the S&P 500 model, again without stops. As volatility is lower than the NASDAQ index, returns are lower but are still very good:

Alpha       0.47948 Beta      -0.22355 ror       0.46115 Sharpe       2.62376

Again these are annualized values. Annualized rate of return is 46% for this year.

P.S.
I've now written all the code including stops for NQ and ES. Stops only detract a little from performance for ES but quite a bit for NQ. This suggests that we should use wider initial stops, just to avoid catastrophe, rather than to get out of ordinary bad trades.