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As a trusted technology and risk management partner, Kapco Futures works one-on-one with producers and processors to develop a margin focused risk management strategy. In a bid to help customers efficiently assess risks, monitor their profit and loss (P&L), and achieve risk reductions, the company delivers custom technology solutions purpose-built for each individual client. It leverages in-depth analytics, machine learning (ML), and hedging algorithms to develop customer risk models for a wide range of industries, including cattle and beef, grains and oilseeds, and commercial agriculture. “For the livestock industry, we offer the most comprehensive cattle risk management software, Cattle Core. It automates your hedge accounting, margin calculations, recordkeeping, and more,” says Jeff Kaprelian, Founder and CEO of Kapco Futures.
Cattle Core provides dashboards that show customers their hedge accounting as well as risk reductions in the futures markets versus their cash market risk. “Our dynamic hedging model for each user guides us through timely risk additions and reductions, and helps us understand the impact on P&L,” notes Kaprelian.
A Holistic Approach to Livestock Risk Management
Kapco Futures works with two types of end-users—meat producers and buyers.
Kapco Futures’ risk management program integrates insurance, cash contracts, futures, and options strategies, and over the counter derivatives. The company begins with a discovery process to become aware of clients’ goals as well as the risks involved to offset them by analyzing cash market purchases. Be it making purchases based on seasonality or accomplishing a 100 percent risk offset all the time, it builds models to successfully cross hedge customers’ risk. In the next step, Kapco Futures presents its findings to customers and finalizes the best solution. This is called a second discovery period. It then refines models before turning them over to quantitative analysts (quants) who build ML models and discover data. Following this, Kapco Futures presents ML findings and the right game plan to customers.
Creating a Better Client Experience
What separates Kapco Futures is that the company relies on data to make decisions rather than gut instincts. They leverage technology to guide customers through the markets based on their own level of risk tolerance. The company is taking cues from established technology and social media companies and relying on technology consultants to stay abreast of the latest and greatest in the field of artificial intelligence (AI) to make better decisions. Further, Kapco Futures’ team of veterans associated with the trading or agricultural industry enables them to follow rule-based approaches to managing risk. Having carved a unique niche, the future for Kapco Futures is going to be headed in the direction of food companies, pizza chains, end-users of beef products, and more. It will address the need for cross-hedging commodities that are undergoing tremendous, uncontrollable price fluctuations due to the pandemic, highlighting the significance of risk management further. From a technology perspective, Kapco Futures is focusing on creating a better client experience through investments in a mobile app. This will give real-time updates on the market, enable secure, direct communication with the broker, and enhance research. “Farmers are often treated as a commission check by brokers who would recommend positions that sell as risk-reducing, though they were nothing more than something to sell. We are established in the industry today to break this status-quo,” concludes Kaprelian.
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Company
Kapco Futures
Management
Jeff Kaprelian, Founder and CEO
Description
As a trusted technology and risk management partner, Kapco Futures works one-on-one with producers and processors to develop a margin focused risk management strategy. In a bid to help customers efficiently assess risks, monitor their profit and loss (P&L), and achieve risk reductions, the company delivers custom technology solutions purpose-built for each individual client. It leverages in-depth analytics, machine learning (ML), and hedging algorithms to develop customer risk models for a wide range of industries, including cattle and beef, grains and oilseeds, and commercial agriculture