the distribution of the total dividend payments in a map
play

The Distribution of The Total Dividend Payments in a MAP Risk Model - PowerPoint PPT Presentation

Introduction Differential Approach Layer-Based Recursive Approach Numerical Example Conclusion The Distribution of The Total Dividend Payments in a MAP Risk Model with Multi-Threshold Dividend Strategy Jingyu Chen Department of Statistics


  1. Introduction Differential Approach Layer-Based Recursive Approach Numerical Example Conclusion The Distribution of The Total Dividend Payments in a MAP Risk Model with Multi-Threshold Dividend Strategy Jingyu Chen Department of Statistics and Actuarial Science Simon Fraser University 44th ARC, Madison, 2009 This is the joint work with Dr. Yi Lu, SFU 1 / 25

  2. Introduction Differential Approach Layer-Based Recursive Approach Numerical Example Conclusion Outline of Topics Introduction 1 Differential Approach 2 Layer-Based Recursive Approach 3 Numerical Example 4 Conclusion 5 2 / 25

  3. Introduction Differential Approach Layer-Based Recursive Approach Numerical Example Conclusion Sample Surplus Process Surplus U(t) premiums claims premium rate = c u ruin 0 Time t 3 / 25

  4. Introduction Differential Approach Layer-Based Recursive Approach Numerical Example Conclusion The Classical Risk Model The surplus process { U ( t ); t ≥ 0 } with U (0) = u , s.t. dU ( t ) = cdt − dS ( t ) , t ≥ 0 . Premiums are collected continuously at a constant rate c A sequence of non-negative claim amounts r.v. { X n ; n ∈ N + } Number of claims up to time t , N ( t ) ∼ Poisson( λ t ) Aggregate claim amounts up to time t , S ( t ) = � N ( t ) n =1 X n Time of ruin τ = inf { t ≥ 0 : U ( t ) < 0 } 4 / 25

  5. Introduction Differential Approach Layer-Based Recursive Approach Numerical Example Conclusion MAP Risk Model MAP ( � α, D 0 , D 1 ) Initial distribution, � α Intensity matrix, D 0 + D 1 Intensity of state changing without claim, D 0 ( i , j ) ≥ 0, j � = i Intensity of state changing with claim, D 1 ( i , j ) ≥ 0 The diagonal elements of D 0 are negative values, s.t. D 0 + D 1 = 0 Special cases: classical risk model, Sparre-Andersen risk model, Markov-modulated risk model Reference: Badescu et al. (2007), Badescu (2008), Ren (2009), 5 / 25

  6. Introduction Differential Approach Layer-Based Recursive Approach Numerical Example Conclusion Various Dividend Strategies Surplus premiums claims b u ruin 0 Time t 6 / 25

  7. Introduction Differential Approach Layer-Based Recursive Approach Numerical Example Conclusion Various Dividend Strategies Surplus premiums claims b u ruin 0 Time t 7 / 25

  8. Introduction Differential Approach Layer-Based Recursive Approach Numerical Example Conclusion Various Dividend Strategies Surplus premiums claims b 2 b 1 u ruin 0 Time t 8 / 25

  9. Introduction Differential Approach Layer-Based Recursive Approach Numerical Example Conclusion Multi-Threshold MAP Risk Model Thresholds: 0 = b 0 < b 1 < · · · < b n < b n +1 = ∞ Premium rate c k for b k − 1 ≤ u < b k , k = 1 , · · · , n + 1 c = c 1 > c 2 > · · · > c n > c n +1 ≥ 0 Time of ruin τ B = inf { t ≥ 0 : U B ( t ) < 0 } Surplus process { U B ( t ); t ≥ 0 } satisfies dU B ( t ) = c k dt − dS ( t ) , b k − 1 ≤ U B ( t ) < b k Claim amounts distribution f i , j , F i , j and Laplace transformation ˆ f i , j ( s ) 9 / 25

  10. Introduction Differential Approach Layer-Based Recursive Approach Numerical Example Conclusion Expected Discounted Dividend Payments D ( t ) is the aggregate dividends paid by time t Define � τ B e − δ t dD ( t ) , D u , B = u ≥ 0 , 0 to be the present value of dividend payments prior to ruin, given the initial surplus u Define V i ( u ; B ) = E i [ D u , B | U B (0) = u ] , i ∈ E , to be the expected present value of dividend payments prior to ruin, given the initial surplus u and the initial phase i ∈ E 10 / 25

  11. Introduction Differential Approach Layer-Based Recursive Approach Numerical Example Conclusion Expected Discounted Dividend Payments The piecewise vector function of the expected present value of the total dividend payments prior to ruin �  V 1 ( u ; B ) 0 ≤ u < b 1 ,   � � V ( u ; B ) = V k ( u ; B ) b k − 1 ≤ u < b k , k = 2 , · · · , n , �  V n +1 ( u ; B ) b n ≤ u < ∞ .  � V k ( u ; B ) = ( V 1 , k ( u ; B ) , · · · , V m , k ( u ; B )) ⊤ for b k − 1 ≤ u < b k and k = 1 , · · · , n + 1 11 / 25

  12. Introduction Differential Approach Layer-Based Recursive Approach Numerical Example Conclusion Differential Approach Typical approach in various risk models Integro-differential equations are involved Can be derived and solved analytically for some families of claim amounts distribution Mainly in Gerber-Shiu discounted penalty function Techniques can be applied to the dividend payments problems Lin and Sendova (2008), classical risk model Lu and Li (2009), Sparre Andersen risk model 12 / 25

  13. Introduction Differential Approach Layer-Based Recursive Approach Numerical Example Conclusion Integro-Differential Equation for � V k ( u ; B ) Condition on the events occurring in a small time interval [0 , h ] No change in the MAP state A change in the MAP state accompanied by no claim arrival A change in the MAP state accompanied by a claim arrival; Claim amounts may vary Two or more events occur 13 / 25

  14. Introduction Differential Approach Layer-Based Recursive Approach Numerical Example Conclusion Integro-Differential Equation for � V k ( u ; B ) Integro-differential equation, for b k − 1 ≤ u < b k � u − b k − 1 c k � k ( u ; B ) = δ� V k ( u ; B ) − D 0 � Λ f ( x ) � V ′ V k ( u ; B ) − V k ( u − x ; B ) dx − � γ k ( u ) 0 � u − b l − 1 where γ i , k ( u ) = ( c − c k ) + � m j =1 D 1 ( i , j ) � k − 1 V j , l ( u − x ; B ) dF i , j ( x ) l =1 u − b l Solution � u − b k − 1 V k ( b k − 1 ; B ) − 1 V k ( u ; B ) = v k ( u − b k − 1 ) � � v k ( t ) � γ k ( u − t ) dt c k 0 ��� � − 1 � � where v k ( u − b k − 1 ) = L − 1 s − δ I + 1 c k ( D 0 + Λ ˆ f ( s )) c k 14 / 25

  15. Introduction Differential Approach Layer-Based Recursive Approach Numerical Example Conclusion Recursive Expression for � V k ( u ; B ) Define vector function � V k ( u ) for u ≥ b k − 1 � u − b k − 1 V k ( b k − 1 ) − 1 V k ( u ) = v k ( u − b k − 1 ) � � v k ( t ) � γ k ( u − t ) dt c k 0 Restrict to b k − 1 ≤ u < b k , compare with � V k ( u ; B ) V k ( u ; B ) = � � V k ( u ) + v k ( u − b k − 1 ) � π k ( B ) , b k − 1 ≤ u < b k Continuity condition at b k − 1 , k = 1 , · · · , n π k +1 ( B ) = � V k ( b k ) − � � V k +1 ( b k ) + v k ( b k − b k − 1 ) � π k ( B ) Final boundary condition when k = n + 1 π n +1 ( B ) = � V n ( b n ) − � π n ( B ) = � � V n +1 ( b n ) + v n ( b n − b n − 1 ) � 0 15 / 25

  16. Introduction Differential Approach Layer-Based Recursive Approach Numerical Example Conclusion Layer-Based Recursive Algorithm Computational disadvantage of the recursive algorithm based on integro-differential equations Constant vectors can only be solved in the last layer Infeasible to compute for large number of layers Layer-based approach Condition on the exit times of the surplus out of each layer Calculate successively for increasing number of layers � The ( k − 1)-layer model The k -layer model ⇐ Classical one-layer model Reference: Albrecher and Hartinger (2007) 16 / 25

  17. Introduction Differential Approach Layer-Based Recursive Approach Numerical Example Conclusion Sample Path of One-Layer Model with Dividend Payments Surplus U 1,k (t) premiums claims u 0 Time t 17 / 25

  18. Introduction Differential Approach Layer-Based Recursive Approach Numerical Example Conclusion Time Value of Upper Exit Define τ ∗ ( u , a , b ) = inf { t ≥ 0 : U ( t ) / ∈ [ a , b ] | U (0) = u } Define � τ ∗ ( u , a , b ) if U ( τ ∗ ( u , a , b )) = b τ + ( u , a , b ) = ∞ if U ( τ ∗ ( u , a , b )) < a and � if U ( τ ∗ ( u , a , b )) = b ∞ τ − ( u , a , b ) = τ ∗ ( u , a , b ) if U ( τ ∗ ( u , a , b )) < a Laplace transform of τ + k ( u , 0 , b ) � e − δτ + � k ( u , 0 , b ) 1 [ J ( τ + � B i , j , k ( u , b ) = E � J (0) = i k ( u , 0 , b ))= j ] given initial phase i and reaching b in phase j Reference: Gerber and Shiu (1998), Albrecher and Hartinger (2007) 18 / 25

  19. Introduction Differential Approach Layer-Based Recursive Approach Numerical Example Conclusion Time Value of Upper Exit For δ > 0 and k ∈ N + , we have 1 = if u ≥ b B k 1 , B k = 0 , if u < 0 For 0 ≤ u < b k − 1 2 � B k − 1 ( u , b ) , if b ≤ b k − 1 B k ( u , b ) = B k − 1 ( u , b k − 1 ) B k ( b k − 1 , b ) , if b ≥ b k − 1 For b k − 1 ≤ u ≤ b 3 B k ( u , b ) = B 1 , k ( u − b k − 1 , b − b k − 1 ) + M k ( u − b k − 1 ) − B 1 , k ( u − b k − 1 , b − b k − 1 ) M k ( b − b k − 1 ) Parallel results in matrix form Reference: Albrecher and Hartinger (2007) 19 / 25

  20. Introduction Differential Approach Layer-Based Recursive Approach Numerical Example Conclusion Sample Path for 0 ≤ u ≤ b k − 1 Surplus U B (t) premiums claims b k-1 u ruin 0 Time t 20 / 25

  21. Introduction Differential Approach Layer-Based Recursive Approach Numerical Example Conclusion Sample Path for u ≥ b k − 1 Surplus U B (t) premiums claims u b k-1 0 Time t 21 / 25

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend