
Asia | Emerging Markets | Equities | FX | Global | UK
Asia | Emerging Markets | Equities | FX | Global | UK
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When evaluating the performance of our momentum models we are considering the average performance across the one-, three-, and 12-month momentum models.
Equity momentum model signals suggest European outperformance as the 12-month lookback model for the DAX flipped to signal ‘buy’ (Chart 1 and Table 1).
Meanwhile, rates momentum models have remained net-bearish on US, Japan, German and UK rates.
Within FX, momentum models turned net-bullish on EUR/CHF as the one-month lookback model flipped to signal ‘buy’ (Chart 2 and Table 2).
For a second week running, momentum models performed best for FX (+0.1%) over the past week, while they registered negative weekly returns for rates and equities (-0.3%). Over the past three months, performance has been poor across the board (rates: -2.7%; FX: -3.3%; equities: -6.8%).
Our favourite trades to start 2023 has been released! We have come up with seven themes spanning FX to rates to equities. Here they are:
Turning to central banks, Dominique continues to expect a 50bp hike from the Federal Reserve at the 1 February meeting – despite early calls for a 25bp hike (31bp priced). She agrees with the consensus of 30bp MoM for core CPI: when inflation is high, core and energy prices tend to become correlated. Oil prices are falling and pulling down core CPI. Bilal has released his trading guide for the US CPI release.
And in Europe, Henry is expecting 50bp hikes from the European Central Bank and Bank of England – though the former to be a hawkish hike and the latter to be a dovish – while Ben expects a 25bp hike from Norges Bank in March.
Finally, Ben expects the Bank of Canada to follow the Reserve Bank of Australia and deliver a 25bp hike of their own, but believes the risks are skewed to the upside, not a pause.
*The basic strategy is to use returns (lookback windows) to give buy/sell signals. So, if the US stocks are up over the past 3 months, you buy, otherwise, you sell (note I use excess returns).
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