On Jan 6, 2021, the always stellar Mr @deepakshenoy tweeted, this:
https://t.co/fa3GX9VnW0
Innocuous 1 sentence, but its a full economic theory at play.
Let me break it down for you. (1/n)
91 day TBills at 3.03%. Interest rates are even lower than RBI has them.
— Deepak Shenoy (@deepakshenoy) January 6, 2021
In essence, if RBI opts and continues to manage exchange rate, then that is "fiddling with the exchange rate"
RBI has done that in the past and has restarted it in 2020 - very explicitly. (3/n)
Implying INR will be bought from the open markets in order to prevent INR from falling vis a vis USD (4/n)
https://t.co/9kpWP7ovyM
Which is what the subject of my Sept 2020 essay with @CFASocietyIndia was. (6/n)
This:
Consider three legs of a stool of an economy-
a. Ability of Dollar to flow in when excess in global economy
b. Fixed Exchange Rate
c. Ability to set interest rates (7/n)
You can choose any 2 of the 3 legs.
Choose : controlled interest rate (and hence low inflation) and fixed INR/USD rate, you cannot have an open economy.
Which India was till 1992. (8/n)
INR will fluctuate around.
Which India has adopted in the recent years. (9/n)
Many famous currency bets were made because central banks sought to ignore this theory. (10/n)
Because RBI has chosen to have a 'fixed exchange rate' (or at least as fixed as markets would allow) and an open economy, it is losing its influence on setting the interest rates in the market (12/n)
More from Economy
"A trend factor using multiple time lengths outperforms ST reversal, momentum, and LT reversal, which are based on the three price trends separately."
https://t.co/udkvsdw2Lz
2/ This resembles combining multiple measures of ST reversal, momentum, and LT reversal (forecasts determined by walking forward rather than using signs from the full sample).
Unlike normal moving average signals, these are *cross-sectional.* More below:
https://t.co/wkIFLg9jtK
1/ Cross-Sectional and Time-Series Tests of Return Predictability: What Is the Difference? (Goyal, Jegadeesh)
— Darren \U0001f95a (@ReformedTrader) June 18, 2019
"The difference between the performances of TS and CS strategies is largely due to a time-varying net-long investment in risky assets."https://t.co/CSIn3ujN2R pic.twitter.com/XHnVmIart4
3/ Unsurprisingly, the Trend factor formed by this approach outperforms benchmarks in terms of both Sharpe ratio and tail metrics. It's combining momentum with two factors that are negatively correlated to it AND using multiple specifications.
More here:
https://t.co/x8Tloz3iyL
1/ An Executive Summary (in Tweet form) of our new paper
— Adam Butler (@GestaltU) March 27, 2019
Dual Momentum \u2013 A Craftsman\u2019s Perspective
Download here: https://t.co/Y9GlGNohBg
Everything that follows in this thread is based on HYPOTHETICAL AND SIMULATED RESULTS. pic.twitter.com/9m5YJnTdtq
4/ "Average return and volatility of the trend factor are both higher in recession periods. However, the Sharpe ratio is virtually the same.
"Interestingly, all of the factors still have positive average returns.
"Momentum experiences the greatest increase in volatility."
5/ "In terms of maximum drawdown and the Calmar ratio, the trend factor performs the best.
"The trend factor is correlated with the short-term reversal factor (35%), long-term reversal factor (14%), and the market (20%) but is virtually uncorrelated with the momentum factor."
What would have been exposed if @GenFlynn hadn't been impeded by corrupt FBI, DOJ and the Obama White house?
He'd have exposed CHINA and their laundering of IRANIAN OIL MONEY!
Read the thread below for the back story on how they went after Flynn.
1. As promised.
— \U0001f1fa\U0001f1f8 \U0001d7dc\U0001d7d8\u210d\U0001d556\U0001d552\U0001d555 \U0001f1fa\U0001f1f8 \u2b50\u2b50\u2b50 \U0001f1fa\U0001f1f8 (@40_head) December 2, 2020
A deep dig covering years of research. This is going to take you committing some real time to get through. What's THIS all about?
A coup. Murder. Treason. Laundering gold for Iran...I think it will blow your mind.
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