Kamakura Corporation

Last updated
Kamakura Corporation
TypeClosely held private company
Industry Software
Founded1990
Headquarters Honolulu, United States
Key people
Prof. Robert A. Jarrow (Director of Research)
OwnerDr Donald R. van Deventer
Website www.kamakuraco.com

Kamakura Corporation is a global financial software company headquartered in Honolulu, Hawaii. It specializes in software and data for risk management for banking, insurance and investment businesses.

Contents

The company was founded in 1990 by its current CEO and Chairman Dr. Donald R. van Deventer, and as of 2019 Kamakura had served more than 330 clients in 47 countries. [1] Cornell professor Robert A. Jarrow, co-creator of the Heath–Jarrow–Morton framework for pricing interest rate derivatives and the reduced form Jarrow–Turnbull credit risk models employed for pricing credit derivatives, serve as the company's Director of Research.

In June 2022, Kamakura was acquired by SAS Institute. [2]


Products and services

The company has two primary products. Kamakura Risk Manager (KRM), an enterprise risk management system integrating credit risk management including IFRS 9 and CECL, market risk management, asset liability management, Basel II and Basel III and other capital allocation technologies, transfer pricing, and performance measurement. Kamakura Risk Information Services (KRIS) is a risk portal providing data for quantitative credit risk measures such as default probabilities, bond spreads, implied spreads and implied ratings for corporate, sovereign and bank counterparties. It also allows users to stress portfolios through Macro Factor Sensitivities and Portfolio Management tools. The Kamakura Troubled Company index measures the percentage of 39,000 public firms in 76 countries that have an annualized one-month default risk of over one percent. In January 2018, the company released its Troubled Bank Index.

History

Kamakura Corporation was founded in Tokyo in 1990. Kamakura Risk Manager (KRM) was first sold commercially in 1993. [1] It was the first credit model published with random interest rates and the first stochastic interest rate term structure model-based valuation software. In 1995, they hired Robert A. Jarrow as their Director of Research. The first closed-form non-maturity deposit valuation model was implemented in KRM in 1996. TD Bank started using KRM during that year. [3]

Kamakura relocated to Honolulu and qualified for the State research and development subsidy. Jarrow-Lando-Turnbull published Markov model for the term structure of credit began to spread in 1997. The stochastic multi-period net income simulation was added to KRM in 1998.

The first implementation of a reduced form credit risk model was made in 2000. Kamakura was the first vendor to offer integrated credit and market risk in their risk management products. In 2002, they launched the KRIS default probability service for 20,000 listed firms. They completed their first Basel II client implementation in 2003. Insurer MetLife and pension fund Ontario Teachers' Pension Plan became clients during that year. [4] Pair-wise default correlations were added to KRIS in 2004. Implied Ratings and Implied CDS Spreads were added to KRIS in 2006. [5] KRIS-CDO launched in 2007. In 2008, Kamakura was named one of the top three worldwide financial information vendors in a Risk Technology 2008 survey. They launched a Basel II-compliant default probability service for sovereigns in 2008 as well. [6] They were named the world's number 1 asset and liability management vendor and number 1 liquidity risk vendor in a Risk Technology 2009 survey. [7] In 2009 the U.S. Office of the Comptroller of the Currency signed for KRIS public firm default models, KRIS sovereign default models and KRIS credit portfolio manager. In 2017, Hong Leong Finance signed with Kamakura Corporation's risk management software. [8] Kamakura was named for the second consecutive year to the World Finance 100 in 2018, and released version 10 of the Kamakura Risk Manager in March of that year.

Awards

Publications

Related Research Articles

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Finance, also known as financial economics, is the study and discipline of money, currency and capital assets. It is related with, but not synonymous with economics, the study of production, distribution, and consumption of money, assets, goods and services. Finance activities take place in financial systems at various scopes, thus the field can be roughly divided into personal, corporate, and public finance.

A credit risk is risk of default on a debt that may arise from a borrower failing to make required payments. In the first resort, the risk is that of the lender and includes lost principal and interest, disruption to cash flows, and increased collection costs. The loss may be complete or partial. In an efficient market, higher levels of credit risk will be associated with higher borrowing costs. Because of this, measures of borrowing costs such as yield spreads can be used to infer credit risk levels based on assessments by market participants.

Liquidity risk is a financial risk that for a certain period of time a given financial asset, security or commodity cannot be traded quickly enough in the market without impacting the market price.

In finance, leverage is any technique involving borrowing funds to buy things, hoping that future profits will be many times more than the cost of borrowing. This technique is named after a lever in physics, which amplifies a small input force into a greater output force, because successful leverage amplifies the comparatively small amount of money needed for borrowing into large amounts of profit. However, the technique also involves the high risk of not being able to pay back a large loan. Normally, a lender will set a limit on how much risk it is prepared to take and will set a limit on how much leverage it will permit, and would require the acquired asset to be provided as collateral security for the loan.

Financial risk management is the practice of protecting economic value in a firm by using financial instruments to manage exposure to financial risk - principally operational risk, credit risk and market risk, with more specific variants as listed aside. As for risk management more generally, financial risk management requires identifying its sources, measuring it, and the plans to address them. See Finance § Risk management.

Interest rate risk is the risk that arises for bond owners from fluctuating interest rates. How much interest rate risk a bond has depends on how sensitive its price is to interest rate changes in the market. The sensitivity depends on two things, the bond's time to maturity, and the coupon rate of the bond.

<span class="mw-page-title-main">Financial risk</span> Any of various types of risk associated with financing

Financial risk is any of various types of risk associated with financing, including financial transactions that include company loans in risk of default. Often it is understood to include only downside risk, meaning the potential for financial loss and uncertainty about its extent.

The Jarrow–Turnbull model is a widely used "reduced-form" credit risk model. It was published in 1995 by Robert A. Jarrow and Stuart Turnbull. Under the model, which returns the corporate's probability of default, bankruptcy is modeled as a statistical process. The model extends the reduced-form model of Merton (1976) to a random interest rates framework.

The following outline is provided as an overview of and topical guide to finance:

The term Advanced IRB or A-IRB is an abbreviation of advanced internal ratings-based approach, and it refers to a set of credit risk measurement techniques proposed under Basel II capital adequacy rules for banking institutions.

Probability of default (PD) is a financial term describing the likelihood of a default over a particular time horizon. It provides an estimate of the likelihood that a borrower will be unable to meet its debt obligations.

A structured investment vehicle (SIV) is a non-bank financial institution established to earn a credit spread between the longer-term assets held in its portfolio and the shorter-term liabilities it issues. They are simple credit spread lenders, frequently "lending" by investing in securitizations, but also by investing in corporate bonds and funding by issuing commercial paper and medium term notes, which were usually rated AAA until the onset of the financial crisis. They did not expose themselves to either interest rate or currency risk and typically held asset to maturity. SIVs differ from asset-backed securities and collateralized debt obligations (CDOs) in that they are permanently capitalized and have an active management team.

Asset and liability management is the practice of managing financial risks that arise due to mismatches between the assets and liabilities as part of an investment strategy in financial accounting.

The interest sensitivity gap was one of the first techniques used in asset liability management to manage interest rate risk. The use of this technique was initiated in the middle 1970s in the United States when rising interest rates in 1975-1976 and again from 1979 onward triggered a banking crisis that later resulted in more than $1 trillion in losses when the Federal Deposit Insurance Corporation and the Federal Savings and Loan Insurance Corporation were forced to liquidate hundreds of failed institutions who had typically lent for long maturities at fixed interest rates and borrowed for much shorter maturities. The interest rate sensitivity gap classifies all assets, liabilities and off balance sheet transactions by effective maturity from an interest rate reset perspective. A thirty-year fixed rate mortgage would be classified as a 30-year instrument. A 15-year mortgage with a rate fixed only for the first year would be classified as a one-year instrument. The interest rate sensitivity gap compares the amount of assets and liabilities in each time period in the interest rate sensitivity gap table. This comparison gives an approximate view of the interest rate risk of the balance sheet being analyzed. The interest rate sensitivity gap is much less accurate than modern interest rate risk management technology where the impact of a change in the yield curve can be analyzed using the Heath-Jarrow-Morton framework based on the work of researchers such as John Hull, Alan White, Robert C. Merton, Robert A. Jarrow and many others.

The CAMELS rating is a supervisory rating system originally developed in the U.S. to classify a bank's overall condition. It is applied to every bank and credit union in the U.S. and is also implemented outside the U.S. by various banking supervisory regulators.

<span class="mw-page-title-main">Moody's Analytics</span> Analytics and financial services company

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Under the Basel II guidelines, banks are allowed to use their own estimated risk parameters for the purpose of calculating regulatory capital. This is known as the internal ratings-based (IRB) approach to capital requirements for credit risk. Only banks meeting certain minimum conditions, disclosure requirements and approval from their national supervisor are allowed to use this approach in estimating capital for various exposures.

<span class="mw-page-title-main">Corporate finance</span> Title Rotche Capuyan Ouano Legal Owner of Legal Law International Businesses Information

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Financial stability is a property of a financial system that dissipates financial imbalances that arise endogenously in the financial markets or as a result of significant adverse and unforeseeable circumstances. When stable, the system absorbs economic shocks primarily via self-corrective mechanisms, preventing the adverse events from disrupting the real economy or spreading over to other financial systems. Financial stability is paramount for economic growth, as most transactions in the real economy are made through the financial system.

The Merton model, developed by Robert C. Merton in 1974, is a widely used credit risk model. Analysts and investors utilize the Merton model to understand how capable a company is at meeting financial obligations, servicing its debt, and weighing the general possibility that it will go into credit default.

References

  1. 1 2 Veteran Wachovia Banker Martin Zorn Named Chief Administrative Officer of Kamakura Corporation, 26 January 2011
  2. "SAS acquires Kamakura to propel risk technology innovation as financial sector braces for volatility". Press release. SAS Institute. June 27, 2022. Retrieved July 1, 2022.
  3. Toronto-Dominion Tests New Asset/Liability Analysis System, Risk, 08 April 1996
  4. Ontario Teachers’ Pension Plan licenses credit risk software from Kamakura, Risk, 04 September 2003
  5. Kamakura expands CDS information service, RISK Magazine, 27 January 2006
  6. Kamakura launches sovereign default probability service, Risk, 20 May 2008
  7. http://www.risk.net/digital_assets/530/techrank.pdf%5B%5D
  8. Finextra (2017-11-14). "Hong Leong Finance signs with Kamakura". Finextra Research. Retrieved 2017-11-16.
  9. Thomson Reuters: Kamakura default probability service, Risk, 01 November 2010
  10. Fiserv: Kamakura Risk Manager, RISK Magazine, 01 November 2010
  11. van Deventer, Donald; Imai, Kenji; Mesler, Mark (2013). Advanced Financial Risk Management: Tools and Techniques for Integrated Credit Risk and Interest Rate Risk Management (2 ed.). Singapore: Wiley & Sons. ISBN   978-1-118-27854-3.
  12. van Deventer, Donald; Imai, Kenji; Mesler, Mark (2005). Advanced Financial Risk Management: Tools and Techniques for Integrated Credit Risk and Interest Rate Risk Management (1 ed.). Singapore: Wiley & Sons. ISBN   978-0-470-82126-8.
  13. Jarrow, Robert; van Deventer, Donald, eds. (1998). Asset and Liability Management: A Synthesis of New Methodologies. London: Risk Books. ISBN   1-899-332-76-6.
  14. van Deventer, Donald; Imai, Kenji (1997). Financial Risk Analytics: A Term Structure Model Approach for Banking, Insurance & Investment Management (1 ed.). USA: IRWIN Professional Publishing. ISBN   0-7863-0964-4.
  15. Uyemura, Dennis; van Deventer, Donald (1993). Risk Management in Banking: The Theory & Application of Asset & Liability Management. USA: IRWIN Professional Publishing. ISBN   1-55738-353-7.