Buy-side lags behind sell-side in adoption of machine learning and artificial intelligence

Buy-side firms are falling behind the sell-side in the bid to scale up adoption of artificial intelligence (AI) and machine learning (ML) technologies, according to an in-depth report from Refinitiv. Source: The TRADE Refinitiv polled 120 asset managers and found 28% had deployed ML and AI in multiple areas, describing it as core to their…

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Banks Struggle to Manage Technical Debt When Dealing with AI, Data Science

Managing technical debt, in the development of new AI models, can be expensive and can lead to significant cost overages throughout the project. This is primarily driven by the need for AI models to scale and adjust to different market conditions, liquidity and volatility situations, where vastly different data volumes and modelling approaches are required. …

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Trading automation is needed in fixed income, but where will the data come from?

Currently, the only solution in the marketplace that shows what bonds have traded and at what prices across various trading venues that also includes the Over-The-Counter (OTC) trading volumes, is “client side data aggregation”. This involves aggregating data feeds from various providers internally. Up until a few years ago, it wasn’t possible to process, map…

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Buy-side issues framework to standardise bond issuance

The Credit Roundtable, a buy-side lobby group for bondholder protection has issued an ‘Investment Grade Primary Best Practices Framework’ designed to improve bond issuance. The measures are meant to standardize a process that has been historically fraught with inefficiency and unnecessary costs to investment managers. This is an issue Overbond is very familiar; check in…

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Portfolio trading grows in choppy bond markets: JP Morgan

According to the article published by Reuters, J.P. Morgan’s credit trading desk is already handling more than three-quarters of the volume of trades this year executed in the whole of 2019 as market turmoil picks up. The turmoil unleashed by the coronavirus pandemic has forced liquidity to dry up even in the deepest parts of…

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Will Machine Learning Transform Finance?

Data may well be the natural resource that defines this century. If so, effective application of machine learning can extract its value. According to Charles Elkan, global head of machine learning at Goldman Sachs, financial services seems like fertile ground for AI to generate profit. Let Overbond introduce you to what the technology can do…

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Finding market liquidity insights with data science

Congratulations to Joel Sebold and Refinitiv Labs for unlocking further potential from data science with their equity market liquidity discovery project. By combining the computer power of machine learning with creative visualizations, data science will take its rightful place in analytics space for capital markets. For fixed income market participants, explore Overbond’s suite of analytics…

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A trading tool that’s transforming the $10 trillion-plus corporate bond market

Once unwieldy and time-consuming, tech innovation is rapidly turning portfolio trading mainstream. In a portfolio trade, an asset manager picks a basket of securities to buy or sell, then analyses them on various metrics such as liquidity, inclusion in ETFs and transaction size. Utilize Overbond’s custom bond basket creation tool to construct strategies and diversify…

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The Accidental Modernization of the Fixed Income Markets

After dire predictions that ETFs would exacerbate volatility in fixed income, investors instead used the instruments to skirt many of the antiquated bond market’s structural problems. Blackrock’s Carolyn Weinberg estimates that 60 pension funds, insurers, and asset managers were first-time buyers of fixed income ETFs during the first quarter. Use Overbond’s ETF basket construction and…

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