What if...Inflation Continues to Surprise?
with Thought Leaders
10:00 EDT / 14:00 GMT
March 14, 2024
To receive a copy of the slides, arrange a call or start a trial with any of the speakers, please contact Jonathan Evans
IRF's first event in our new Investor Education program was a Thematic Event entitled “What If…. Inflation Continues to Surprise?” Focused on the complex interplay between the numerous factors driving the inflationary debate and policy expectations, the three speakers delivered a fascinating discussion on how to navigate a prolonged period of stasis, high asset correlation, low volatility and steady but uninspiring economic data.
Topics for discussion included:
China's deflationary impact vs. Services inflation
Resilient labour markets globally - how long can they last?
Will the break-even curve re-invert, increasing hard landing risks?
Terminal rates lower and later than expected?
Chris Watling
Longview EconomicsAsset Allocation - Chris looks to debunk the ‘sticky inflation’ argument and outline key implications for a cross section of key global assets, including equities, bonds, rates and commodities.
Manoj Pradhan
Talking Heads MacroMacro - Manoj touches on China deflation's impact and tight labour markets, still bigger threats than many realise. Neutral rates vs. terminal rates is a fulcral debate, with some central banks needing to cut more than he explains is currently priced in. Discover who and where.
Jonathan Wilmot
WilmotMLBonds - Jonathan succinctly illustrates the risks of 'sticky inflation' with the Fed potentially falling yet further behind the curve. Lower and later terminal rates and a re-inversion of the breakeven curve also exacerbate hard-landing risks further down the line.
Tricks of the Trade: AI Tools in Your Investment Process
Mark Latham
Commodity IntelligenceDavid Trainer
New ConstructsAric Whitewood
XAI Asset Management and Research10:00 EDT / 15:00 BST
May 02, 2024
To receive a copy of the slides, arrange a call or start a trial with any of the speakers, please contact Jonathan Evans
The launch of ChatGPT on November 30, 2022 unleashed a global phenomenon that has taken FOMO (fear of missing out) to a new level. Finding the next Nvidia, alternatives to the 'Magnificent 7', and applications for Large Language Models (LLMs) and generative AI has become an investment pre-occupation that now spans chipmakers, software companies, cloud-computing service providers and technology giants.
The ability to harness the power of LLMs and AI-driven products in investment is not solely limited to stock selection. Join us on May 2 to discuss and demonstrate three ground-breaking, market leading AI-driven strategies and screening tools that are already redefining the playing field, generating alpha (with impressive, demonstrable track records) and augmenting improving the investment process.
Mark Latham
Commodity IntelligenceMark Latham founded Commodity Intelligence, a specialist Resources-focused advisory service, in 2008 following more than 20 years in fund management. CI has developed customised search tools sourcing information on commodities and commodity equities from around the world and its via AI-driven tools:
Spot emerging trends in supply and demand
Analyse news and events in real time and provide a daily analysis and investment research
Generate quarterly presentations outlining prospects for the following quarter
David Trainer
New ConstructsDavid Trainer, CEO of New Constructs, is a Wall Street veteran and AI-expert.
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Novel alpha: from data buried in the footnotes
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Proven-Superior research: clients, case studies and independent papers prove the New Constructs secret sauce
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Get an edge: take advantage of this new AI to differentiate your process and get proprietary, market-moving insights.
Aric Whitewood
XAI Asset Management and ResearchDr. Aric Whitewood is a founding partner of XAI Asset Management, a hedge fund and research provider operating at the intersection of Macro and Artificial Intelligence.
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Artificial Intelligence (AI) and Macro focused hedge fund and research provider.
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Proprietary, Explainable AI based investing framework, which uses causal models to link market regimes with returns.
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Regime based investment strategies and signals work across macro assets and stocks.