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
Numerous commentators have pointed out the enormous yield spread between agencies debt (Fannie /Freddie) and US Treasuries. Here are some links kindly provided by a reader: 10 yr Fannie/Treasury , 5 yr Fannie/Treasury , 10 yr Freddie/Treasury , and 5 yr Freddie/Treasury . Currently their spreads are above 150 bp. Since the US government has nationalized Fannie and Freddie, this 150 bp is a riskless profit. As the blog Accrued Interest has pointed out, one reason this riskless profit exists is hedge fund deleveraging: nobody has the risk appetite to arbitrage this spread at a meaningful scale. Brad Setser , a blogger at the Council of Foreign Relations, suggests that the Chinese government, who does have a lot of cash to benefit from this high yield, should go ahead and buy up these agencies debt. However, if you read the Chinese blogs and online comments, there is enormous internal pressure for the government to spend some of this money on infrastructure projects, social security, he