Aggregate Earnings Call Sentiment in the Japanese Market

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ExtractAlpha tracks the overall sentiment of Japanese and Chinese equity markets every quarter using our proprietary NLP model applied to earnings call transcripts supplied by SCRIPTS Asia. The transcripts analyze the sentiment recorded from company management and sell side analysts.

Past quarter-over-quarter changes in the overall earnings call transcript sentiment have been correlated with future quarter-over-quarter changes in index levels in the Japanese market, with a correlation of 0.15 (the correlation is even higher for the Chinese market, at 0.37). This indicates that management’s outlooks on their own stock and the Japanese economy as a whole have predictive value and can be aggregated to the market level to use as early indicators of market regime shifts, or to the sector level to inform rotation strategies.

Japanese Market Sentiment

Below, we plot the sentiment (with 0.5 being neutral) versus the TOPIX index from the second quarter of 2019 through the present.

Although sentiment in Japan remains much higher than during the COVID period, it has pulled back significantly relative to Q2, indicating a less-positive outlook by companies and analysts and a possible continued pullback in the Japanese market for the rest of Q4. 

As the table below shows, the drop in sentiment was driven primarily by significant decreases in the Materials, Transportation, and Industrial sectors, with most other sectors experiencing a small decrease. Healthcare and Consumer Non-Durables were the only sectors to hold steady or experience slight increases in sentiment.

Chinese Market Sentiment

Next, we’ll publish our Earnings Call Sentiment report for the Chinese market.  

In Summary

ExtractAlpha’s Transcripts Model Asia dataset provides valuable insights into the outlook of Japanese and Chinese equities. It can be used to identify early warning signs of market regime shifts and to inform sector rotation strategies.

For more information on the Transcripts Model Asia which underpins these aggregates, please reach out to us.

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Perry Stupp

Perry brings more than 20 years of Enterprise Software development, sales and customer engagement experience focused on Fortune 1000 customers. Prior to joining ExtractAlpha as a Technical Consultant, Perry was the founder, President and Chief Customer Officer at Solution Labs Inc. a data analytics company that specialized in the analysis of very large-scale computing infrastructures in place at some of the largest corporate data centers in the world.

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Vinesh founded ExtractAlpha in 2013 with the mission of bringing analytical rigor to the analysis and marketing of new datasets for the capital markets. Since ExtractAlpha’s merger with Estimize in early 2021, he has served as the CEO of both entities. From 1999 to 2005, Vinesh was the Director of Quantitative Research at StarMine in San Francisco, where he developed industry leading metrics of sell side analyst performance as well as successful commercial alpha signals and products based on analyst, fundamental, and other data sources. Subsequently, he developed systematic trading strategies for proprietary trading desks at Merrill Lynch and Morgan Stanley in New York. Most recently he was Executive Director at PDT Partners, a spinoff of Morgan Stanley’s premiere quant prop trading group, where in addition to research, he also applied his experience in the communication of complex quantitative concepts to investor relations. Vinesh holds an undergraduate degree from the University of Chicago and a graduate degree from the University of Cambridge, both in mathematics.

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