On October 26, after a clear pullback last week, gold traded in a consolidation range around the $4,000 level in the new trading week. MHMarkets noted that the market is weighing the impact of high energy costs on inflation, as well as the follow-up signals to be released at this week's interest rate meeting; gold prices fell by about 4% over the previous week, indicating that funds remain sensitive to the cost of holding the metal.
Recent US inflation readings have been on the strong side, with the 10-year Treasury yield approaching 5%. MHMarkets believes that gold generates no interest, and elevated yields raise its relative opportunity cost; however, price action also depends on the dollar, capital flows and risk appetite, and no single indicator can explain all fluctuations. The market's assessment of inflation will influence future expectations for bond returns, and therefore also alter the comparison between gold and interest-bearing assets.
Beyond the immediate decision at the rate meeting, the market is equally focused on the future policy path and the personal consumption expenditures price data to be released afterward. If inflation cools at a pace different from expectations, both bond yields and precious metal valuations could readjust; market probabilities are merely expectations for the timing of trades, not guaranteed outcomes. Higher oil prices may both raise corporate costs and affect consumer spending, exerting differing directional effects on economic data.
Looking ahead, it is worth watching whether gold can stabilize near its recent lows, and comparing changes in the dollar, real yields and energy prices. MHMarkets analysis suggests that whether a short-term rebound continues still needs to be confirmed by subsequent data and capital flows together, and the trend cannot be judged based on the rise or fall of a single trading day. The difference between real yields and nominal yields also involves inflation expectations, and attention must be paid to maturity and measurement conventions when reading the data.
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