I think the paper illustrates a common theme among those who want to trade (including myself): we run to digital signal processing in the hopes of finding some fundamental insights or methods of analysis to apply to financial data and we quickly run into diminishing returns. The more astute catch on quickly and move on to other areas, the less astute buy tons of dsp books and haunt dsp message boards for years, some never catching on.Quote from John Merchant:
To put a definitive end to this thread, let me say this. I just read the paper, and on page one he blows it. He describes both the "signal" and the measurement as noisy. The price is the price is the price. Nothing is "hidden".
Mon Cher Jean Marchand,Quote from John Merchant:
Been there. Done that. Doesn't work. Those of us who REALLY know Kalman filtering tried that over 20 years ago. In fact, a correspondent from the B-Team who shall remain nameless told me Kalman himself tried it. If you wonder how he did, he still works for a living.
Preaching to the Kalman choir, the fundamental problem is that there is no measurement noise and no noise in the "signal". So you don't need a Kalman. Further, there is no way to create the required physical model because price doesn't behave "physically". If it did you could just calculate as many derivatives as you need for accuracy and project forward. Tried that, too, hahahaha! There ARE underlying market mechanics that you can model mathematically that affect price, but pure price don't cut it. Fucking mathematicians. There are days I wish I wasn't one. Just led me ass-tray for years in the markets.
Quote from John Merchant:
"Never mud wrestle with a pig. The pig likes it too much." Did you read the lame-assed conclusion of the paper? A call for further research, haha! "Il faut continuer de depenser de l'argent sur cette idee foule."

Quote from John Merchant:
Did you read the lame-assed conclusion of the paper? A call for further research, haha! "