Tampilkan postingan dengan label quantitative. Tampilkan semua postingan
Tampilkan postingan dengan label quantitative. Tampilkan semua postingan

Rabu, 25 Mei 2016

How does the financial crisis affect quantitative trading - forex trading system 96 percent winners

How does the financial crisis affect quantitative trading ~ forex trading system 96 percent winners


Now that we are reasonably sure the financial world is not coming to an end yet, it is reasonable to ask how quantitative strategies have been faring under this extreme market stress. Despite reports of massive hedge fund deleveraging and negative YTD returns, I believe quantitative strategies, especially statistical arbitrage, have survived the period relatively unscathed. But here are a few of my thoughts:

1) The paltry 10% annual returns that a mediocre statarb fund can deliver is suddenly looking pretty good when the risk-free rate is under 1% and a prolonged bear market is on the horizon.

2) Mean-reversal models continue to beat momentum models in this crisis environment, as in previous crisis environments. This is not surprising because market returns have completely dominated specific returns, and of course market returns have been highly mean-reverting lately.

3) Models involving shorts are under some tumoil because of regime-change induced by new and ever-changing short-sale regulations. (For a while, I even have difficulties locating SPY for hedging purposes!)

4) Models are generally trained on data with far lower volatility than is recently realized. (Even incorporting VIX in a model does not guarantee that it can match realized volatility any better.)
As a result, P&Ls fluctuations are also much higher than usual, which induces deleveraging as a risk-management measure, which drains liquidity from the market, which in turn leads to still higher volatility. The usual viscious cycle.

5) Political risks in an election year have further reduced leverage and increased volatility. What if there is an assassination? What if the wrong party got elected? What if the paper-trailess electronic voting machines cause another dispute for a month? The nightmares will continue at least until the morning of Nov 5.

6) Normally, lack of liquidity in the market is good for statarb models since they profit from renting out temporary liquidity. However, this profitability assumes that there are buyers of last resort for the market: the long-term investors, the mutual funds, Warren Buffet, etc. When they are absent, statarb investors can be left holding the bag. Fortunately, Warren Buffet & Co. has indeed stepped in and we statarb traders can breathe a sigh of relief.

7) I have been paying particular attention to 3 websites since the crisis began in order to judge whether I should return to my normal leverage: the Ted spread (I am waiting for it to return to below 2), the Calculated Risk blog, and Paul Krugmans blog. This crisis is caused by panic in the credit market, so we should look for credit market returning to normal before declaring victory. The VIX? Not so much because I believe it is backward-looking in this environment.

8) Watching Fannie, Freddie, Lehman, AIG, WaMu, Wachovia, Iceland, and the initial bailout bill failed feels like reading Chapter 8 of Harry Potter and the Deathly Hallows: "The Ministry has fallen. Scrimgeour is dead. They are coming." The Dark Lord is taking over our economy.
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Minggu, 15 Mei 2016

My book on Quantitative Trading is published - forex trading system 96 winners

My book on Quantitative Trading is published ~ forex trading system 96 winners


My book on Quantitative Trading has been published and is now available from Amazon.com. Many thanks to all of you for your ideas, comments, and support!
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Rabu, 20 April 2016

Conference on the sociology of quantitative finance - forex trading trend strategy

Conference on the sociology of quantitative finance ~ forex trading trend strategy


A new conference called Psi-Q will be held in London this June, featuring luminaries in the academic quantitative finance world, as well as risk and fund managers from various banks and hedge funds. Example topics:
  • How did shared beliefs, practices, ways of calculating, and technical systems impact evaluation of asset-backed securities and CDOs before and during the credit crises?
  • Was that Lucky or Good? Creating a framework for skill attribution in finance, business management and other risky endeavors.
  • The “backing out” phenomena observed in options markets:  how traders use models to imply independent variables consistent with market observed pricing, and where enough traders can be wrong about the expected results and the backed-out positions can send the wrong message.
Sounds like an interesting birds eye view of quantitative finance.

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Sabtu, 16 April 2016

The best environment for quantitative trading - forex trading volume strategy

The best environment for quantitative trading ~ forex trading volume strategy


Let me talk about a topic that is far more mundane than the usual high-brow theoretical discussions of strategies and algorithms, but that has no less long-term impact on the bottom line: what is the best office environment for research and execution of quantitative trading strategies?

I have worked in different office environments before, so I feel qualified to offer an informed opinion.

At Morgan Stanley, I huddled over a desk that is semi-partitioned from the rest of the office: nobody could see or bother me unless I or they stood up. At Credit Suisse, I shared an office with 2 other prop trading colleagues, one of whom was prone to freely sharing his opinion on various current affairs with his officemates. (On the other hand, he complained my biting an apple for lunch was too loud for him.) At Maple, a hedge fund in New Jersey, I shared an office with about 100 other colleagues on the trading floor, many of whom were prone to same opinion-sharing temptation.

Here at my own firm, I sit in solitude (except for my cat) in my basement office, my beloved classical FM streaming over the internet, my desktop electronically connected to my partner in our Chicago office, our trading servers at Amazon and elsewhere, and other clients and partners around the world, but unmolested throughout the day unless I voluntarily pick up the phone or answer an email or instant message.

Can you guess which environment is the one I find the most productive? Which one has the least stress? And which one contributes most to the bottom line of my employers/partners/clients?

(Hint 1: read Timothy Ferriss book The 4-Hour Workweek. This guy checks his email only once a week.)

(Hint 2: my trading Sharpe ratio went from negative to >7.)

P.S. I look forward to meeting some of you at the Automated Trading Conference in London this Friday (my talk will start at 0900), and others at my pairs trading workshop on the preceding two days.
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Selasa, 12 April 2016

Why are quantitative funds losing money these days - best forex trading system free download

Why are quantitative funds losing money these days ~ best forex trading system free download


The New York Times today has an article about several well-known quantitative hedge funds incurring significant losses in recent months. I was quoted in saying that traders running similar quantitative models could contribute to market volatility. This is certainly true if the strategies are trend-following. What puzzles me, however, is that most statistical arbitrage strategies are mean-reverting: they buy during investors panic, and sell during investors euphoria, and should be richly rewarded in this volatile market by providing sorely needed liquidity. And indeed, from my own experience as well as hearing from other traders, mean-reverting strategies are performing very well recently. So where did those losses come from? My guess is that, as I have observed before, many traditional stat arb strategies are getting boring and generating diminishing returns, and therefore many of the quantitative researchers are driven (by their own professional pride or their bosses) to come up with more exotic and higher-return strategies that ultimately may not stand the test of time. For us quants, remembering Occams razor and that our job is to generate returns as opposed to producing brilliant mathematical models is often a hard lesson to learn.
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Selasa, 29 Maret 2016

A good book for quantitative traders - forex trading winning strategies

A good book for quantitative traders ~ forex trading winning strategies


Larry Connors and Cesar Alvarez (the guys behind tradingmarkets.com) recently published Short Term Trading Strategies That Work, a nice collection of simple technical trading strategies that you can easily backtest and verify.

As I have argued in my own book, simple strategies are often the ones that work best. As with any published strategies, you may find that their backtest performance may not be as high as advertised if you test them on a different time period or a different security, or with different transaction cost assumptions; but the main value of these strategies is that they serve as an inspiration to trigger your own imagination and motivate you to refine them further.

(For e.g., though the book mainly covers long-only strategies, you can easily imagine the accompanying short strategies.)

To be quite honest, this is one of the few books on trading strategies that I actually manage to finish reading from cover to cover.
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Sabtu, 26 Maret 2016

An update on why quantitative funds are losing money recently - best forex trading system ever

An update on why quantitative funds are losing money recently ~ best forex trading system ever


A story just came through Dow Jones newswire ("How Black Boxes Became Pandoras Boxes" by Spencer Jakab) suggesting that recent losses are due to factor models gone bad. Given my expressed distaste for such models, that should have been my first guess instead of blaming the "exotic" models!
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So how much did quantitative strategies actually lose last quarter - forex trading breakout system

So how much did quantitative strategies actually lose last quarter ~ forex trading breakout system


The numbers have started to come in: Morgan Stanley lost $480MM last quarter due to quantitative trading -- about 10% of operating profits.
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