Whitepapers

As a recognised thought leader, Quantifi publishes whitepapers and articles that offer valuable insight on key topics related to the financial markets. Stay up-to-date with our latest whitepapers by following us on LinkedIn 

August 2016

Microservices: The New Building Blocks of Financial Technology

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by Quantifi

The derivatives landscape has evolved greatly over the past few years, driven by the scale and pace of regulatory change, economic unease and competitive pressures. These drivers have heightened the attention on risk technology and operations, forcing firms to re-think their business operating models. Microservices is a new approach to financial technology that optimises evolutionary change at a granular level.The derivatives landscape has evolved greatly over the past few years, driven by the scale and pace of regulatory change, economic unease and competitive pressures. These drivers have heightened the attention on risk technology and operations, forcing firms to re-think their business operating models. Microservices is a new approach to financial technology that optimises evolutionary change at a granular level.

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March 2016

Cost of Trading and Clearing OTC Derivatives in the Wake of Margining

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by Quantifi & Cognizant

Over-the-counter (OTC) derivatives markets continue to be impacted by regulatory changes. These changes are affecting the way financial institutions do business in multiple, interrelated ways. Rising capital requirements are impacting profitability and return on equity. Market participants are now being forced to clear standard OTC trades through Central Counterparties (CCPs) and will soon face margin requirements for the remaining, nonstandard, uncleared derivatives.

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February 2016

A First View on the New CVA Risk Capital Charge

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by Quantifi & d-fine

The recently published consultative document ‘Review of the Credit Valuation Adjustment (CVA) risk framework’ by the Basel lll Committee introduces new approaches for the calculation of regulatory capital. This white paper explores the effect of two of the new regulatory methods introduced in the consultative paper.

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January 2016

Sell-Side Risk Management, Chartis RiskTech Quadrant®

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by Chartis Research

Risk management systems for sell-side institutions cover a range of capabilities across different categories of risk such as liquidity risk, market risk, credit risk and operational risk. They are required to support a broad range of asset classes, as well as a variety of risk analytics including both pre-deal and post-trade analytics. Sell-side risk management involves front, middle and back office operations. In this report Chartis covers the leading technology providers capable of addressing essential aspects of the emerging demand for sell-side risk management and focuses on the key capabilities and strengths of Quantifi as a provider of sell-side risk management solutions.

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Buy-Side System Requirements

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by Avadhut Naik (Quantifi) and Sol Steinberg (OTC Partners)

The financial markets have undergone dramatic change. While some of this is down to natural evolution, much of the change can be directly attributed to new rules introduced in the wake of the 2007 crisis. The combination of the Dodd-Frank Act, EMIR, MiFID ll and Basel lll signify the biggest regulatory change in decades. These reforms have triggered major change in how financial products are traded, settled, collateralized and reported, resulting in deep ongoing structural changes to the markets.

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IFRS13: The Implications for Hedge Accounting

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by Dmitry Pugachevsky, Rohan Douglas (Quantifi) and 
Searle Silverman, Philip Van den Berg (Deloitte)

With the introduction of the new accounting standard, IFRS 13, the requirement to calculate complex variables, such as CVA and DVA has renewed emphasis. IFRS 13 has significant implications for all entities, including corporates and those in the financial services sector that hold derivatives, which are measured at fair value. CVA and DVA also result in additional challenges when performing hedge effectiveness testing under IAS 39.  This whitepapers examines these challenges and also the different approached for testing hedge effectiveness.

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IFRS13 - Accounting for CVA and DVA

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by Dmitry Pugachevsky, Rohan Douglas (Quantifi) and Roman Bedau (Deloitte)

According to IFRS 13, model-based fair value measurements have to take into account all risk factors that market participants would consider, including credit risk. In order to reflect the credit risk of the counterparty in an OTC-derivative transaction, an adjustment of its valuation has to be made. Therefore, depending on the type of derivative, not only does the market value of the counterparty’s credit risk (CVA) need to be taken into account, but also the company’s own credit risk (debit valuation adjustment - DVA) has to be considered in order to calculate the correct fair value. This whitepaper explores the different Fair Value Adjustments and valuation techniques under IFRS 13.

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