TECH TUESDAY is a weekly content series covering all aspects of capital markets technology. TECH TUESDAY is produced in collaboration with Nasdaq.
Referred to as ‘the finance COP’ to highlight the critical nature of negotiations to advance various financial tools and mechanisms designed to aid in climate change mitigation efforts, Nasdaq was proud to be present for a fourth consecutive year at the UN Climate Change Conference COP29 which was held from November 11th to 22nd in Baku, Azerbaijan.
Despite efforts to cut carbon dioxide (CO₂) emissions via renewable energy and efficiency, residual emissions persist. With excessive amounts of CO₂ accumulating in the atmosphere, achieving the Paris Agreement’s goals rests heavily on increasing the pace of reductions while also investing in durable Carbon Dioxide Removals (CDRs) to manage the residual emissions that are proving impossible to reduce. While permanent carbon dioxide removal is essential to neutralize emissions, it remains scarce and is primarily supported by voluntary corporate initiatives.
Achieving net-zero emissions necessitates a multifaceted approach that includes reduction activities combined with the development of a mature carbon removal market. The carbon removal market needs to expand to gigaton capacity, requiring swift action and cooperation between public and private sectors.
Clear guidelines for using carbon credits in corporate net-zero strategies are necessary to ensure high-quality carbon removal projects are effectively utilized. Consensus on handling durable CDRs and clear definitions for compensation, contribution, and neutralization claims utilizing carbon credits are essential for effective implementation and to ensure that private capital is mobilized.
An important example is the utilization of durable CDRs for corporate claims in the era of Article 6 of the Paris Agreement. It is of utmost importance to clarify that durable CDRs would not require a so-called Corresponding Adjustment to be eligible for neutralization claims. A Corresponding Adjustment is a technical term in the Paris Agreement and means an adjustment to ensure that an emission reduction or removal is only counted once—either by the country where the reduction or removal takes place or by the country purchasing the reduction or removal to fulfill its Nationally Determined Contributions (NDCs). Requiring Corresponding Adjustments for durable CDRs would result in inconsistency where residual emissions would need to be neutralized twice to allow for a net-zero claim. This would also significantly raise costs and hinder scaling. Clarity on this issue would be highly beneficial to minimize uncertainty for buyers of carbon removals. And since the growth of the CDR market is highly dependent on long-term offtake agreements, such uncertainty creates unnecessary barriers for the scaling of the CDR market.
Beyond clear policies and industry guidelines, scaling the carbon removal market will also require the creation of efficient pricing mechanisms, verified and trusted carbon standards, and transparent and interconnected marketplaces and registries. Competition fosters innovation and a well-organized carbon market can use financial market insights to improve carbon removal efficiency.
This is where Nasdaq’s expertise in managing effective capital market infrastructures comes in. Nasdaq’s new registry technology, as described in Tech Tuesday’s recent article, brings registry solutions in line with modern capital markets standards by meeting resiliency, security, performance and interoperability expectation. Robust technological infrastructure will be essential also for managing the complexities of Internationally Transferred Mitigation Outcomes (ITMOs) transactions established under Article 6 of the Paris Agreement and facilitating successful cross-border transfers. Efficient and transparent asset creation, and issuance and transfer of sovereign carbon credits with full auditability ensures accurate ownership and facilitation of transfer from issuing countries to acquiring countries and corporates.
To further advance the carbon markets, it is crucial to create more standardized carbon spot and futures contracts, as well as to develop a vibrant secondary market for better price discovery and demand signaling. The European Union’s Emissions Trading System has already set a global standard for carbon pricing. To expand these initiatives and integrate high-integrity durable carbon removals into emission trading systems in a controlled way would create an important foundation for the development of a more liquid market. This would also drive demand for additional carbon removal projects, encourage climate-positive corporate behavior, and ultimately support the objectives set forth in the Paris Agreement.
The availability and allocation of capital is a critical enabler, underpinning all other innovations, solutions, and initiatives that will accelerate progress – from investments in new and emerging technologies, to funding of large-scale, capital-intensive energy and carbon removal projects, to investments that help decarbonize traditional industries and infrastructures. Capital markets will play a critical role at the epicenter of capital formation and allocation. Experience and solutions from the financial market should be leveraged on when developing the structure of carbon markets. Simultaneously, building a robust and transparent carbon removal market is crucial to encouraging corporate involvement in climate solutions and achieving significant climate results.
Achieving net-zero emissions will require various approaches. Implementing a diverse array of tactics, including the policy measures outlined here, can drive the significant climate impact that is needed.
Tomas Thyblad is VP, Carbon & ESG Solutions, European Markets at Nasdaq.
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The Transformative Potential of AI in FIX Connectivity
By Jeremy Hamerman, Lab49’s Director for Digital Assets and Blockchain
FIX connectivity has been a cornerstone of the financial services industry since its inception in the early 1990s. Providing a standardized protocol for the exchange of information related to securities transactions, FIX has been integral to electronic trading, enabling real-time communication between brokers, exchanges and institutional investors. Although, despite its widespread use, FIX connectivity is often perceived as a widespread but outdated tool. It’s seen little innovation in recent years which is particularly problematic when you think about the technological advancements from the past decade.
Meanwhile, innovations in AI have been making waves across every sector. In particular, as financial institutions and vendors continue to invest heavily in the research, development and implementation of AI—enabled technology, excitement around its potential applications has only grown. The impact AI has had on the industry already is undeniable, from algorithmic trading and risk management to customer service and fraud detection. Now, there is increasing recognition that AI might have the potential to revitalize FIX Connectivity, transforming it into a forward-thinking solution fit for the demands of modern traders and institutions.
The Current State of FIX connectivity
While robust, the FIX protocol is not inherently designed to handle the complexities that can come with modern trading environments which demand greater speed, transparency and adaptability. As a result, communication between market participants in this digital age can be cumbersome and prone to inefficiencies.
One of the main drawbacks of traditional FIX connectivity is its rigidity – operating on predefined message types and fields, these can be difficult to modify or expand without significant time and effort. As firms increasingly rely on fast data-driven insights, FIX’s architecture often struggles to keep pace. The vast amount of data generated by modern trading can overwhelm legacy FIX systems, resulting in bottlenecks and increased latency.
Despite these challenges, there’s been little innovation in FIX connectivity to address them. As a result, the FIX protocol is not traditionally associated with innovation, growth and differentiation although, through the integration of AI this perception could be changed. By integrating AI into FIX connectivity, the protocol can be reimagined as a forward-thinking, adaptable solution, capable of meeting the modern demands of financial markets. It could help FIX break out of its rigid framework and open new avenues for automation, efficiency, and enhanced user experiences.
The Role of AI in Enhancing FIX Connectivity
In the fast-paced trading environments of today, actionable date is crucial to making informed decisions. While FIX does not naturally lend itself to this type of analysis without significant investment in time and resources. AI provides the potential to process and analyze vast amounts of data in real time. Integrating AI with FIX connectivity can make it easier for firms to garner meaningful and actionable insights from the large amount of data extracted through the protocol. By enabling more sophisticated data processing and analysis, AI can not only improve the quality of information available to traders but also streamline the entire trading process.
At the same time, as trading platforms become more complex, there is a growing need for simplified, intuitive interfaces that allow traders to interact with data and execute trades seamlessly. In particular, when it comes to the tools and technology they use in the workplace every day, today’s traders have high expectations. Seeking simplicity, transparency and control – especially in how data is presented – it’s important that firms employ technology that can keep up with their traders’ modern requirements.
One of the main pain points faced by operations teams revolves around understanding and analyzing failed trades.
Trade failures can occur for a variety of reasons—mismatched trade details, incorrect counterparty information, or network issues. Typically, resolving these failures requires manual intervention, which is time-consuming and prone to human error.
AI, however, can swiftly analyze the logs from FIX messages and pinpoint the root cause of the failure. By using machine learning algorithms trained on historical data, AI can provide detailed insights into why the trade failed, whether due to incorrect trade details or systemic issues in the connectivity process. It can also suggest corrective actions and preventative measures to avoid similar failures in the future. This adaptive approach not only speeds up the resolution process but also improves operational resilience.
In addition to operational fixes, AI can help institutions understand key market dynamics—specifically, where trading volume is flowing from and who their most valuable counterparties are. By continuously analyzing trade data across various market participants, AI can highlight trends in counterparty behavior and trading patterns. This lets Sales Traders know who their most valuable counterparties are based on trade flow, which is invaluable for institutions aiming to optimize their execution strategies, identify potential risks, and strengthen relationships with key trading partners.
Another key area for AI is improving the user experience (UX). Traditionally, interacting with FIX has been complex, requiring a deep understanding of messaging protocols and workflows. AI can simplify these interactions by intuitive dashboards, natural language processing, and other user-friendly interfaces, allowing traders and operators to focus more on strategy and decision-making rather than technical details. In this way traders can ask a chatbot simple question or ask it to perform complex data analysis all from a single chatbot.
By automating routine tasks, streamlining workflows, and personalizing user experiences based on individual preferences and behavior, AI can help revolutionize FIX connectivity and achieve the required level of UX needed to stay competitive. By making FIX connectivity more user-friendly, AI can help reduce the cognitive load on traders and improve their overall productivity.
The Future of FIX connectivity
AI has the potential to revolutionize FIX connectivity, transforming it from a legacy system into a forward-thinking solution that meets the demands of modern traders and institutions. By focusing on addressing the current challenges associated with traditional FIX connectivity, AI can enhance data processing and simplify UX, ultimately leading to more efficient and effective trading.
As the financial services industry continues to evolve, it is crucial for firms to prioritize AI-driven technology strategies. By doing so, they can unlock new opportunities for growth and differentiation, ensuring that FIX connectivity remains a vital component of the trading ecosystem in the digital age and future-ready trading infrastructure.