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Asia stocks: Nikkei near record high before PM vote, Hong Kong dips on EV losses

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Asia stocks: Nikkei near record high before PM vote, Hong Kong dips on EV losses

Asian equities saw mixed performance, with Japan's Nikkei 225 advancing 1.6% to near record levels, driven by BOJ Governor Ueda's cautious economic assessment signaling a less hawkish stance on interest rates, ahead of a pivotal LDP leadership vote. Conversely, Hong Kong's Hang Seng declined 0.7%, primarily due to significant losses in electric vehicle stocks like BYD and Li Auto, which mirrored Tesla's overnight 5% drop amidst concerns over impending U.S. tax subsidy changes and heightened market competition. Regional trading volumes were subdued due to market holidays in China and South Korea.

Analysis

Asian equity markets demonstrated significant divergence, with Japan's Nikkei 225 surging 1.6% to approach record highs while Hong Kong's Hang Seng index declined 0.7%. The rally in Japanese stocks was directly fueled by comments from Bank of Japan Governor Kazuo Ueda, who signaled a cautious outlook on the economy, thereby tempering expectations for an immediate interest rate hike. This dovish sentiment is occurring just ahead of a pivotal Liberal Democratic Party leadership vote, which markets anticipate will result in a less fiscally conservative Prime Minister. In contrast, the Hang Seng was weighed down by a sharp sell-off in the electric vehicle sector, with stocks such as BYD (-4.7%) and Li Auto (-4.2%) falling in response to an overnight 5% drop in Tesla (TSLA). The negative sentiment surrounding Tesla, reflected in a -0.7 sentiment score, persists despite record third-quarter deliveries, as analysts attribute the performance to U.S. tax subsidies that are reportedly set to be revoked and note the presence of intense competition in the Chinese market. The broader market context was mixed, with low trading volumes due to holidays in China and South Korea, and while U.S. markets provided a positive lead, regional factors clearly dominated investor focus.

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