Once bullish on the dollar, Morgan Stanley has revised its forecast to adopt a neutral stance on the U.S. currency.
This change follows a decrease in Treasury yields and the Federal Reserve’s shift to a more dovish position.
Originally, Morgan Stanley predicted a stronger dollar. Since mid-November, they expected an 8% rise in the Dollar Spot Index by the second quarter.
However, recent market shifts have altered this view.
In December, various hedge funds and banks, including Goldman Sachs, adopted a bearish outlook on the dollar.
This shift occurred after Jerome Powell, the Federal Reserve Chairman, hinted at potential rate cuts this year.
Following these indications, the dollar index dipped to a five-month low but recovered slightly in early January.
The slowdown of the U.S. economy influenced Morgan Stanley’s decision.
The firm noted a narrowing in growth differentials and a further drop in U.S. rates compared to its peers.
Additionally, equity return trends suggested that investors were not in a defensive mode.
In contrast to this, Fidelity International, JPMorgan Chase, and HSBC maintained a minority view in December.
They anticipated a stronger dollar in 2024, citing the U.S. economy’s strong performance. However, the majority of Bloomberg analysts predict a weaker dollar.
Moreover, Morgan Stanley has shifted its strategy recommendations. The bank no longer advises a short position in euro-dollar trades.
Instead, it suggests a short position in the euro-yen, expecting the yen to gain value as U.S. interest rates fall and the euro to weaken due to the cooling Eurozone economy.
This revised outlook on the dollar reflects broader market dynamics. It highlights the interconnected nature of global currencies and economic trends.
This article was produced by The Rio Times’ automated AI newsroom. Editorial responsibility: Matthias Camenzind, Publisher and Editor-in-Chief. The Rio Times also runs Ask Rio Times, which answers from 100,000+ of our own articles, the daily Latin America Power Map, and prediction-market odds on elections and markets.. How we use AI · Report an error
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