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Global Data Pod

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Nov 22, 2024 • 36min

Global Data Pod Research Rap: Greater China 2025 macro outlook

Haibin Zhu, joined by Grace Ng and Tingting Ge, will discuss what the red sweep and tariff war 2.0 risk means for China, and implications on Taiwan and Hong Kong. Two major themes affect our 2025 growth outlook, namely China’s domestic policy shift since late September, and the Trump win in the US presidential election. While we think the odds of a 10% across-the-board tariff in 2025 are low, in part for procedural reasons, the probability of a significant tariff hike on China imports has increased significantly. This stands in contrast with our previous assumption of no major change in trade policy in 2025 and has significant implications on the Greater China 2025 macro growth and policy outlook. This podcast was recorded on Nov 22, 2024. This communication is provided for information purposes only. Institutional clients can view the related report at https://jpmorganmarkets.com/research/content/GPS-4842856-0, and https://jpmorganmarkets.com/research/content/GPS-4773721-0 for more information; please visit www.jpmm.com/research/disclosures for important disclosures. © 2024 JPMorgan Chase & Co. All rights reserved.
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Nov 20, 2024 • 35min

Global Data Pod EM Edge: Don’t judge a book by its cover

The hosts discuss the potential impacts of a second Trump administration on emerging markets. They highlight vulnerabilities like low diversification and high funding needs, while also noting improvements in fundamentals and FX reserves. Key channels of exposure, including trade, immigration, and funding, are explored. The conversation digs into how global trade dynamics shape economies, the role of remittances in Central America, and the unique factors driving resilience in emerging markets. Insights on coping with economic shocks are also shared, emphasizing future opportunities.
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Nov 15, 2024 • 34min

Global Data Pod Weekender: Vibe check on deck

Consumer spending shows resilience, especially in the US, Japan, and Europe, despite inflation concerns. Upcoming PMIs after the US election will be pivotal to gauge economic sentiment. There's a notable divergence in sentiment between the US and Europe, with surprising inflation trends causing central banks to adapt their strategies. Manufacturing is stagnant, yet there's cautious optimism for a production boost. Overall, the discussion highlights the complexities of navigating economic uncertainties amid trade tensions.
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Nov 8, 2024 • 38min

Global Data Pod Weekender: Diversity, exceptionalism, and inflation

Bruce Kasman and Joe Lupton discuss how the US election is a material shock to the baseline, but one that reinforces our view that pushed back against a consensus for an immaculate disinflation. A careful assessment of the coming supply and demand shocks to the global economy will lead us to expect diverse growth outcomes but undeniably higher inflation and less policy easing.   This podcast was recorded on November 8, 2024. This communication is provided for information purposes only. Institutional clients please visit www.jpmm.com/research/disclosures for important disclosures. © 2024 JPMorgan Chase & Co. All rights reserved. This material or any portion hereof may not be reprinted, sold or redistributed without the written consent of J.P. Morgan. It is strictly prohibited to use or share without prior written consent from J.P. Morgan any research material received from J.P. Morgan or an authorized third-party (“J.P. Morgan Data”) in any third-party artificial intelligence (“AI”) systems or models when such J.P. Morgan Data is accessible by a third-party. It is permissible to use J.P. Morgan Data for internal business purposes only in an AI system or model that protects the confidentiality of J.P. Morgan Data so as to prevent any and all access to or use of such J.P. Morgan Data by any third-party.
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Nov 1, 2024 • 28min

Global Data Pod Weekender: Anticipation forward points the view

Ahead of the all-important US election, the data tracking at the start of 4Q is mixed but supportive of a resilient expansion. A noisy October US labor report should be faded, but strong 3Q GDP growth and healthy income gains are constructive. Nevertheless, moderating wages gains should help the Fed ease at next week’s meeting while presenting an open mind about December. Elsewhere, we look for a 25bp cut from the BoE next week as well as an announcement of further China stimulus.   Speakers: Bruce Kasman Joseph Lupton This podcast was recorded on 1 November 2024. This communication is provided for information purposes only. Institutional clients please visit www.jpmm.com/research/disclosures for important disclosures. © 2024 JPMorgan Chase & Co. All rights reserved. This material or any portion hereof may not be reprinted, sold or redistributed without the written consent of J.P. Morgan. It is strictly prohibited to use or share without prior written consent from J.P. Morgan any research material received from J.P. Morgan or an authorized third-party (“J.P. Morgan Data”) in any third-party artificial intelligence (“AI”) systems or models when such J.P. Morgan Data is accessible by a third-party. It is permissible to use J.P. Morgan Data for internal business purposes only in an AI system or model that protects the confidentiality of J.P. Morgan Data so as to prevent any and all access to or use of such J.P. Morgan Data by any third-party.
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Nov 1, 2024 • 5min

Global Data Pod US: Data Drop – October Jobs Report Recap

Michael Feroli, Chief US Economist, and Samantha Azzarello, Head of Content Strategy, discuss the October jobs report. Speakers: Michael Feroli Samantha Azzarello This podcast was recorded on 1 November 2024. This communication is provided for information purposes only. Institutional clients please visit www.jpmm.com/research/disclosures for important disclosures. © 2024 JPMorgan Chase & Co. All rights reserved. This material or any portion hereof may not be reprinted, sold or redistributed without the written consent of J.P. Morgan. It is strictly prohibited to use or share without prior written consent from J.P. Morgan any research material received from J.P. Morgan or an authorized third-party (“J.P. Morgan Data”) in any third-party artificial intelligence (“AI”) systems or models when such J.P. Morgan Data is accessible by a third-party. It is permissible to use J.P. Morgan Data for internal business purposes only in an AI system or model that protects the confidentiality of J.P. Morgan Data so as to prevent any and all access to or use of such J.P. Morgan Data by any third-party.
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Nov 1, 2024 • 29min

Global Data Pod EM Edge: Differentiation is the name of the game

Katie, Nicolaie, Gbolahan and Steven discuss takeaways for EM Edge economies from last week’s IMF/World Bank meetings. Investors started the year ready to increase their exposures to EM Edge economies spurred by improved fundamentals, attractive valuations and reduced US recession risks. Improving fiscal and current accounts, better growth, high nominal (and real) rates and structural reform efforts drove interest in a diverse set of Edge economies. That interest remains intact. Yet, stories remain highly idiosyncratic which warrants differentiation. Following an overview of broad themes, the podcast goes into the most top-of-mind frontier markets from last week’s meetings. Speakers: Katherine Marney, Emerging Markets Economic and Policy Research Gbolahan Taiwo, EM, Economic and Policy Research Nicolaie Alexandru-Chidesciuc, EM, Economic and Policy Research Steven Palacio, EM, Economics Research This podcast was recorded on 31 October 2024. This communication is provided for information purposes only. Institutional clients can view the related report at https://www.jpmm.com/research/content/GPS-4829599-0 for more information; please visit www.jpmm.com/research/disclosures for important disclosures. © 2024 JPMorgan Chase & Co. All rights reserved. This material or any portion hereof may not be reprinted, sold or redistributed without the written consent of J.P. Morgan. It is strictly prohibited to use or share without prior written consent from J.P. Morgan any research material received from J.P. Morgan or an authorized third-party (“J.P. Morgan Data”) in any third-party artificial intelligence (“AI”) systems or models when such J.P. Morgan Data is accessible by a third-party. It is permissible to use J.P. Morgan Data for internal business purposes only in an AI system or model that protects the confidentiality of J.P. Morgan Data so as to prevent any and all access to or use of such J.P. Morgan Data by any third-party.
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Oct 26, 2024 • 34min

Global Data Pod Weekender: Forecasters love company

Financial experts discuss a ‘Goldilocks’ macro scenario at a recent conference, pondering the unpredictable US election outcomes. They examine the varied impacts of a divided government on growth and inflation. The conversation shifts to rising housing prices and their local economic implications, alongside the complexities of trade negotiations, historical sentiment shocks, and tariffs. Lastly, they analyze key economic indicators and the Federal Reserve's cautious approach to inflation and trade, considering future policy adjustments.
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Oct 24, 2024 • 27min

Global Data Pod Research Rap: Inflation Monitor

Nora Szentivanyi and Raphael Brun-Aguerre discuss their takeaways from the September CPI reports and how the incoming data are shaping the outlook for global inflation and monetary policy. Global headline inflation eased further to 2.7%oya, aided by falling energy prices––a decline that has supported consumer purchasing power. But core inflation is proving to be sticky around 3% after stepping down from 3.4%ar in 1H24. Services inflation globally continues to run above pre-pandemic norms, even as goods prices have returned to their pre-pandemic inflation rate. However, persistent divergences in both domestic demand and supply are now starting to drive greater variation in inflation outcomes.  This podcast was recorded on October 24, 2024. This communication is provided for information purposes only.  Institutional clients can view the related report at https://www.jpmm.com/research/content/GPS-4824594-0 , https://www.jpmm.com/research/content/GPS-4820478-0 for more information; please visit www.jpmm.com/research/disclosures for important disclosures. © 2024 JPMorgan Chase & Co. All rights reserved. This material or any portion hereof may not be reprinted, sold or redistributed without the written consent of J.P. Morgan. It is strictly prohibited to use or share without prior written consent from J.P. Morgan any research material received from J.P. Morgan or an authorized third-party (“J.P. Morgan Data”) in any third-party artificial intelligence (“AI”) systems or models when such J.P. Morgan Data is accessible by a third-party. It is permissible to use J.P. Morgan Data for internal business purposes only in an AI system or model that protects the confidentiality of J.P. Morgan Data so as to prevent any and all access to or use of such J.P. Morgan Data by any third-party.
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Oct 18, 2024 • 27min

Global Data Pod Weekender: More than a feeling

A number of recent developments serve to reduce downside growth risks globally. In part this reflects strong US demand indicators and substantial front-loaded China policy supports, which serve to materially raise our current quarter global growth forecast. Speakers: Bruce Kasman Joseph Lupton This podcast was recorded on October 18, 2024. This communication is provided for information purposes only. Institutional clients please visit www.jpmm.com/research/disclosures for important disclosures. © 2024 JPMorgan Chase & Co. All rights reserved. This material or any portion hereof may not be reprinted, sold or redistributed without the written consent of J.P. Morgan. It is strictly prohibited to use or share without prior written consent from J.P. Morgan any research material received from J.P. Morgan or an authorized third-party (“J.P. Morgan Data”) in any third-party artificial intelligence (“AI”) systems or models when such J.P. Morgan Data is accessible by a third-party. It is permissible to use J.P. Morgan Data for internal business purposes only in an AI system or model that protects the confidentiality of J.P. Morgan Data so as to prevent any and all access to or use of such J.P. Morgan Data by any third-party.

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