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Menampilkan postingan dari Juni, 2008

Applying Corrective AI to Daily Seasonal Forex Trading

  By Sergei Belov, Ernest Chan, Nahid Jetha, and Akshay Nautiyal     ABSTRACT We applied Corrective AI (Chan, 2022) to a trading model that takes advantage of the intraday seasonality of forex returns. Breedon and Ranaldo (2012)   observed that foreign currencies depreciate vs. the US dollar during their local working hours and appreciate during the local working hours of the US dollar. We first backtested the results of Breedon and Ranaldo on recent EURUSD data from September 2021 to January 2023 and then applied Corrective AI to this trading strategy to achieve a significant increase in performance. Breedon and Ranaldo (2012) described a trading strategy that shorted EURUSD during European working hours (3 AM ET to 9 AM ET, where ET denotes the local time in New York, accounting for daylight savings) and bought EURUSD during US working hours (11 AM ET to 3 PM ET). The rationale is that large-scale institutional buying of the US dollar takes place during European working hours to pa

Have oil stocks exhausted their run?

Floyd Norris, the chief financial correspondent of The New York Times, suggested in his blog today that we are looking at "The Beginning of the End for High Oil Prices". What is the basis of his optimism? He argued that oil stocks have been lagging oil prices lately, and therefore equity investors must believe that high oil prices are causing demand destruction which will eventually reduce oil prices and oil companies earnings. I beg to differ. Look at the long-standing spread relation between an oil stock ETF and an oil commodity ETF, e.g. XLE vs USO, which I have been commenting on and tracking since October 2006 . At the moment, this spread is within 1.4 standard deviations of its historical value. See my table here (subscription required). In other words, oil prices and oil stock prices are at approximately their long-time historical average. I would hardly call that suggestive of the beginning of the end.

Statistical electoral vote predictor: Update

For readers who have been tracking the Gott and Colley presidential electoral vote prediction, they will notice a sudden switch over to a predicted Obama victory in the last few days. That is because polls from OH, VA and MO are now available -- surprising because the 3 states are not hitherto known for their Democratic leanings. It seems to me that, after all, the stability of prediction at this early date is quite questionable due to the paucity of state polls, a point already made by Dr. Colley.

Statistical model predicts a McCain victory?

There has been a lot of buzz lately about a simple statistical model proposed by astrophysicists Prof. Gott and Dr. Colley that uses the median polls of each state to predict the November electoral vote. (For our un-American readers, the electoral vote is what determines the outcome of a general election, not the popular vote, in case the nightmarish 2000 election has not already drilled this fact into the world's collective consciousness.) Dr. Colley has set up a website to track daily such polls to gauge the mood of the states. The authors have tested this method on the 2004 election, as well as numerous sporting events outcomes, and found it to be highly predictive. Right now, they are betting on a McCain victory. But there is one caveat that many bloggers have pointed out, and it is the same caveat that I have previously applied to the predictive accuracy of political futures market such as The caveat is this: polls (and futures market) change with time. And at