search.noResults

search.searching

note.createNoteMessage

search.noResults

search.searching

orderForm.title

orderForm.productCode
orderForm.description
orderForm.quantity
orderForm.itemPrice
orderForm.price
orderForm.totalPrice
orderForm.deliveryDetails.billingAddress
orderForm.deliveryDetails.deliveryAddress
orderForm.noItems
Head office: 2222 Kalakaura Avenue, Suite 1400, Honolulu, Hawaii 96815, US Tel: +1 808 791 9888 Email: info@kamakuraco.com Other offices: Amsterdam, Beijing, Chicago, Frankfurt, Hong Kong, Limassol, London, Los Angeles, Malaga, Melbourne, Moscow, Munich, New York, Seoul, Shanghai, Singapore, Sydney, Tokyo, Toronto, Warsaw, Washington Website: www.kamakuraco.com Twitter: @KamakuraCo Contact: Dr Donald van Deventer, CEO, Mr Warren Sherman, President & COO, Mr Martin Zorn, CFO and CAO Founded: 1990 Ownership: Privately owned Number of staff: Around 150


KRM


KRM is now intended to provide a fully integrated solution across credit risk, market risk, liquidity risk, foreign exchange risk, asset/liability management, funds transfer pricing, and operational risk analytics (compliant with Basel II, Basel III and Sarbanes-Oxley). The supplier claims there is the flexibility to add functionality on an ongoing basis and transaction by transaction processing of complex securities. For credit risk, KRM offers reduced form and structural models; implied PD models (risky bonds and credit default swaps); logistic regression PD models with user-defined variables; collateral and hedge relationships; credit VaR; credit-adjusted income simulation; expected loss distributions and analysis; macro risk factor analysis; and economic capital modelling. Key features of KRM for Basel II include: three standard VaR methodologies (matrix, historical, Monte Carlo) to support an internal models approach to market risk; Pillar 1 compliance with all three credit risk approaches (standardised, foundation IRB, advanced IRB); simple or comprehensive approach to collateral; integrated Pillar 2 stress and scenario testing; Pillar 2 banking book IRR; determination of risk-weighted regulatory capital requirements and surplus; and multiple methodologies, including structural and reduced form models for default probabilities and other valuation models. In terms of IAS 39, the system generates cash flows and fair values for all asset classes; amortises fees and commissions over the life of underlying loans; determines effective interest rates; supports the definition of hedge relationships; tracks


64


retrospective hedge effectiveness; tests prospective hedge effectiveness through forward-looking simulation of cash flows and fair values; tests hedge effectiveness of options against components of value, for example intrinsic value; and leverages the integrated default intensity framework to support the determination of individual and collective impairment. For interest rate risk, KRM is intended to contain the basic building blocks of rate analysis, including: market standard and proprietary yield curve smoothing techniques; multiple term structure models to forecast the evolution of interest rates and yield curves; unlimited formula-driven rate indices to support the modelling of discrete rates such as base/prime or internally administered rates such as savings rates; and deterministic or stochastic (Monte Carlo) generated scenarios. For liquidity risk, Kamakura claims cash flow modelling


incorporating up to 999 future periods in any user-defined buckets. It also includes: all contractual cash flows including structures and amortisations; cash flows from embedded options that change with prevailing rates; roll-over and re- investment strategies; new business origination through time; cash flows from off-balance sheet commitments; and multi- factor prepayment and early withdrawal models. In terms of market risk, as mentioned, KRM enables the comparison of results from historical VaR, variance/co- variance (matrix) VaR, and Monte Carlo VaR. KRM also enables the user to determine the incremental VaR and VaR sensitivity for any level of data granularity (individual transactions through to the entire balance sheet) and for any risk factor. Risk factor volatilities and correlations can be calculated within KRM or can be user-supplied. There was work being


Risk Management Systems & Suppliers Report | www.ibsintelligence.com


company details


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60  |  Page 61  |  Page 62  |  Page 63  |  Page 64  |  Page 65  |  Page 66  |  Page 67  |  Page 68  |  Page 69  |  Page 70  |  Page 71  |  Page 72  |  Page 73  |  Page 74  |  Page 75  |  Page 76  |  Page 77  |  Page 78  |  Page 79  |  Page 80  |  Page 81  |  Page 82  |  Page 83  |  Page 84  |  Page 85  |  Page 86  |  Page 87  |  Page 88  |  Page 89  |  Page 90  |  Page 91  |  Page 92  |  Page 93  |  Page 94  |  Page 95  |  Page 96  |  Page 97  |  Page 98  |  Page 99  |  Page 100  |  Page 101  |  Page 102  |  Page 103  |  Page 104  |  Page 105  |  Page 106  |  Page 107  |  Page 108  |  Page 109  |  Page 110  |  Page 111  |  Page 112  |  Page 113  |  Page 114  |  Page 115  |  Page 116  |  Page 117  |  Page 118  |  Page 119  |  Page 120  |  Page 121  |  Page 122  |  Page 123  |  Page 124  |  Page 125  |  Page 126  |  Page 127  |  Page 128  |  Page 129  |  Page 130  |  Page 131  |  Page 132  |  Page 133  |  Page 134  |  Page 135  |  Page 136  |  Page 137  |  Page 138  |  Page 139  |  Page 140  |  Page 141  |  Page 142  |  Page 143  |  Page 144  |  Page 145  |  Page 146  |  Page 147  |  Page 148  |  Page 149  |  Page 150  |  Page 151  |  Page 152  |  Page 153  |  Page 154  |  Page 155  |  Page 156  |  Page 157  |  Page 158  |  Page 159  |  Page 160  |  Page 161  |  Page 162  |  Page 163  |  Page 164  |  Page 165  |  Page 166  |  Page 167  |  Page 168  |  Page 169  |  Page 170  |  Page 171  |  Page 172  |  Page 173  |  Page 174  |  Page 175  |  Page 176  |  Page 177  |  Page 178  |  Page 179  |  Page 180  |  Page 181  |  Page 182  |  Page 183  |  Page 184  |  Page 185  |  Page 186  |  Page 187  |  Page 188  |  Page 189  |  Page 190  |  Page 191  |  Page 192