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40. What causes extra work or rework?
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41. Can the credit risk be sold off because investors are already used to that credit risk?
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42. Does insurance enable beneficiaries to adapt to climate impacts?
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43. Are you looking to stabilize your total cost of risk regardless of insurance market volatility?
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44. How important or serious are the impacts of human induced climate change likely to be?
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45. Do you expect emerging technology/digitalisation to have a big impact?
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46. What are the key input variables? What are the key process variables? What are the key output variables?
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47. Is key measure data collection planned and executed, process variation displayed and communicated and performance baselined?
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48. What is the Risk transfer business impact?
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49. Is data collection planned and executed?
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50. Are key measures identified and agreed upon?
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51. What particular quality tools did the team find helpful in establishing measurements?
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52. Is the cost of insuring your risks getting too expensive?
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53. What impact does an insurer insolvency have on captive insurance programs?
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54. Can operational risk for non financial organizations be quantified and insured?
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55. Will data and analytics generate interest from the capital markets for longer tail risk?
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56. Will there be added value once all additional costs are taken into account?
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57. What impact has the costly claim environment had on insurers profitability?
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58. Where should you focus your efforts to achieve the greatest improvements?
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59. What is the cost to transfer the risk?
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60. Which is the cost of replacing the existing property exactly at the current price?
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61. What charts has the team used to display the components of variation in the process?
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62. Are appropriate historical cost data used in the estimate?
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63. Is there sufficient knowledge about climate change impacts and adaptation?
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64. Can data and analytics overcome Basis Risk?
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65. How does your organization of infrastructure repair impact insurance?
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66. What is the opportunity cost of buying insurance?
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67. What users will be impacted?
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68. Does the board understand the insurance coverage in place and its impact on potential claims?
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69. What key measures identified indicate the performance of the stakeholder process?
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70. What data should be analyzed to predict the claims of export credit insurance?
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71. Which methods of risk identification and quantification do you know?
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72. How long to keep data and how to manage retention costs?
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73. Are process variation components displayed/communicated using suitable charts, graphs, plots?
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74. How can that cause significant disruption to that particular investors portfolio if something goes wrong?
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Add up total points for this section: _____ = Total points for this section
Divided by: ______ (number of statements answered) = ______ Average score for this section
Transfer your score to the Risk transfer Index at the beginning of the Self-Assessment.
CRITERION #4: ANALYZE:
INTENT: Analyze causes, assumptions and hypotheses.
In my belief, the answer to this question is clearly defined:
5 Strongly Agree
4 Agree
3 Neutral
2 Disagree
1 Strongly Disagree
1. What are the key findings of the data?
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2. Is the performance gap determined?
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3. Are there enough various data available for statistical modelling purposes?
