The dollar tumbled in recent days, but analysts weren’t pointing to weaker-than-expected U.S. inflation data on Friday.
Instead, they fingered a “Trump discount” as market-positive aspects of the administration’s agenda appeared to be missing in action.
Richard Clarida, global strategic adviser at Pimco, the bond giant with around $1.6 trillion under management, told CNBC that disappointment over the progress of President Donald Trump’s agenda was looming over the market.
“A lot of people came into this year expecting a big stimulus from Trumponomics, potentially a big tax cut, infrastructure,” Clarida told CNBC’s “Squawk Box” on Monday. “And of course, we haven’t got the tax cut, infrastructure is down the road and Congress is squabbling over health care. So some of the folks who really thought this would be a gangbusters year have been disappointed.”
Clarida added that the health-care debate has “held the rest of the economic agenda hostage.”
That’s because around half of the cuts in health-care spending were earmarked to finance the proposed tax cuts.
On Saturday, the Republican leadership delayed Senate consideration on the health-care legislation as U.S. Sen. John McCain was recovering from surgery, suggesting even the procedural vote count may come down to the wire.
To be sure, the dollar’s tumble was both swift and hard on the heels of the disappointing data on Friday.
Flat consumer inflation and a surprise drop in June retail sales triggered new doubts that the Federal Reserve will be able to raise interest rates again this year.
The consumer price index, measuring what consumers pay for everything from apparel to used cars, was up 1.6 percent on-year in June, the fourth month of surprising weakness.
Retail sales fell 0.2 percent in June, down for a second month, raising concerns in markets about the strength of the economy.
On Friday, Ian Lyngen, head of U.S. rates strategy at BMO, told CNBC that Fed funds futures were reflecting odds for another U.S. rate hike this year of just 46 percent, down from 52 percent before the data.