ARWG Report to LATF's VM-22 Subgroup Concerning Potential VM-22 Reserve Methodology

Size: px
Start display at page:

Download "ARWG Report to LATF's VM-22 Subgroup Concerning Potential VM-22 Reserve Methodology"

Transcription

1 ARWG Repor o ATF's VM-22 Subgroup Concerning Poenial VM-22 Reserve Meodology Indianapolis, IN Augus 22, 2013 The Annuiy Reserve Work Group (ARWG) of e American Academy of Acuaries 1 is pleased o provide you is repor on is progress owards fulfilling e reques made by e ife Acuarial Task Force a e NAIC Spring 2012 Naional Meeing o develop a draf of VM-22 covering all non-variable annuiies and deposi funds. There has been considerable ough and work expended owards is goal. This repor provides e VM-22 Subgroup wi an updae on e progress made. Equally imporan, i provides e Subgroup wi a descripion of e direcion we are currenly aking for recommendaions on VM-22 and also idenifies e major differences beween ese recommendaions and e requiremens of VM-20 and VM-21. Please noe e following: Some of e proposals we've made are enaive and we anicipae furer review of e srucure described in is repor. In paricular, e approach oulined in is repor anicipaes e inroducion of lapse raes ino e Floor Reserve. This should no be regarded as a final recommendaion by e ARWG, as is will require addiional discussion and sudy. The conceps behind many aspecs of e "Modeled Reserve" discussed in is repor are relaively new and ere are many deails o be considered in e fuure as we coninue o explore e meodology. Finally, e ARWG anicipaes a e Kansas Insurance Deparmen will conduc a field es involving a small number of producs and companies' acual business in force for which sample calculaions of e reserves described in is repor will be made. The field es is expeced o be compleed by e end of e year and will be based on e approach oulined in is repor. The ARWG anicipaes a e resuls of is field es will be shared wi i and is will furer inform us and may help furer develop e meodologies described in is repor. However, e ARWG will no direcly paricipae in e es; i is our undersanding a e design and requiremens of e field es are being developed solely by e Kansas Insurance Deparmen. A is ime we are focusing our aenion on deferred annuiies wi cash values bu will consider oer annuiies in scope a a laer dae. 1 The American Academy of Acuaries is a 17,000-member professional associaion whose mission is o serve e public and e U.S. acuarial profession. The Academy assiss public policymakers on all levels by providing leadership, objecive experise, and acuarial advice on risk and financial securiy issues. The Academy also ses qualificaion, pracice, and professionalism sandards for acuaries in e Unied Saes. 1

2 Our goal for e meodology underlying VM-22 requiremens is o propose a sound principlebased reserve sandard for annuiies oer an variable annuiies, incorporaing: 1. an appropriae formulaic floor reserve a exends e curren CARVM meodology o reflec is use as a minimum reserve insead of as e primary reserve; 2. an audiable modeled reserve a properly reflecs e key risks of oday's complex annuiy produc designs; and 3. assurance of an adequae reserve sandard by exploring possible expansion of asse adequacy analysis requiremens, if necessary. Minimum Reserve Sandard. Under e VM-22 requiremens currenly under consideraion, e reserve for a given block of business would equal (i) e sum, for all policies in e block, of e larger of e Floor Reserve and e policy cash value, plus (ii) e excess, if any, of e Modeled Reserve over (i). Floor Reserve. The Floor Reserve being considered by e ARWG provides subsanial conracolder proecion; e Modeled Reserve (described laer in e repor) may require an increase over is floor when analysis of e risks underaken by e issuer indicaes a one is needed. A significan aspec of e proposed Floor Reserve is a i should resul in values a are reasonably comparable o e reserves currenly required under CARVM and Acuarial Guideline XXXIII (AG 33) / Acuarial Guideline XXXV (AG 35), 2 while a e same ime reflecing e greaer variey and complexiy of curren non-variable deferred annuiy producs. To provide greaer flexibiliy in e formulaic Floor Reserve calculaion, a designaion of ree ypes of benefis was creaed as a firs sep: (i) cerain conrac benefis referred o as ised Benefis, 3 (ii) "rich" non-lised benefis (such as Guaraneed Minimum Dea Benefis (GMDBs) wi dea benefis significanly higher an e conrac accoun value, and (iii) all oer benefis. Then, e Floor Reserve was defined as e greaer of α and β, where: 2 References wiin is documen o AG 33 should generally be inerpreed o also include AG 35 inasmuch as AG 35 mus currenly be followed regarding CARVM valuaion of Equiy Indexed Annuiies (EIAs); mos of e producs for which GIBs are currenly offered are EIAs. 3 Examples of ised Benefis are GIBs, annuiizaions oer an GIB elecions, and annuiizaion wiin e annuiizaion ier of a wo-iered annuiy. TC benefis provided under a deferred annuiy may also be considered a ised Benefi if e conracolder may elec wheer or no o receive benefis once e TC disabling even has occurred. Because many ised Benefis may include charges or fees o pay for e benefi, ey will have e effec of reducing e amoun of cash value a is available and may also serve o increase e ulimae dea benefi beyond a provided by a radiional waiver of surrender charge by adding a benefi equal o a refund of fees a have been deduced from e accumulaion value. 2

3 α represens e scenario in which e ised Benefis are no eleced by e conracolder erefore no fuure charges are deduced for ese benefis afer e valuaion dae and no cos for em is refleced. The reserve is compued as currenly required by CARVM, excep a prescribed lapse raes are uilized in every Inegraed Benefi Sream (IBS) and i is assumed a any ised Benefis are erminaed on e valuaion dae (and reflecing erminaion of any charges for e ised Benefi). β, on e oer hand, represens e scenarios in which e conracolder coninues o pay for e ised Benefis afer e valuaion dae and inends o use em a some fuure poin (unless dea or an immediae need for cash inervenes, as represened in e valuaion formulas as specified lapse raes). The reserve is e larges presen value of IBSs, one for each ised Benefi and is defined by prescribed assumpions for all elecive conracolder behavior, wi e assumpions incorporaing a es for ised Benefis a are "in e money." As such, ere would need o be prescribed assumpions for elecion of ose ised Benefis and prescribed incidence rae assumpions for oer elecive behavior such as lapse raes. A measure of in-e-money-ness (ITM) of e "rich" non-lised benefis would be used o adjus e prescribed lapses for bo α and β. ike curren CARVM, e calculaion of α considers all fuure Inegraed Benefi Sreams (excep a prescribed lapse raes are incorporaed) - while assuming a ised Benefis have been erminaed, while e calculaion of β considers e group of Inegraed Benefi Sreams (one IBS for each ised Benefi) in which e ised Benefis are eleced wi β being e larges presen value of ese IBS's. α is a Greaes Presen Value calculaion considering a poenially infinie se of IBSs, while β is e larges of a small number of Presen Value calculaions. For bo α and β, prescribed dynamic lapse raes are uilized, which are modified for adjusmen by an in-e-money-ness (ITM) funcion of e respecive benefis. Prescribed incidence raes for e ised Benefis are included in e calculaion of β. When no ised Benefis are presen in a conrac, only α is needed for reserve calculaion. When a ised Benefi has already been eleced as of e valuaion dae (and no oer ised Benefis are available), en e calculaion of α would be unnecessary and e lapse raes, if any, following elecion are considered in e β calculaion. Please noe a for e field esing of ese calculaions, e resuls wi and wiou e use of lapse raes in e calculaions of α and β will be considered. Following review of ose resuls, e use of prescribed lapse raes in e calculaion we are considering for α may be revisied by e ARWG wi possible subsequen modificaion in our direcion. Thus, for conracs no involving a ised Benefi, we expec a e Floor Reserve under consideraion would be less an e currenly required reserve o e exen a e prescribed lapse raes produce a GPV smaller an a which requires consideraion of lapse raes from 0% o 100%. In addiion, for conracs a conain a ised Benefi, we expec ere may also be a furer reducion from curren CARVM o e exen (a) e greaes presen value under CARVM is deermined from an IBS involving uilizaion of e ised Benefi and (b) e presen value of e single, idenified IBS for e Floor Reserve is lower. 3

4 However, e Floor Reserve includes a cash value minimum, so e Floor Reserve per policy will never be less an e conrac cash value. Thus, e decreases discussed above will effecively never come ino being once e cash value is reached. I is wor noing a cash values for deferred non-variable annuiies are very significan as a percenage of premium, us esablishing a maerial minimum reserve amoun. This can be conrased wi a for some forms of life insurance, which are eier exemp from cash values or provide very minimal values. The curren annuiy nonforfeiure law requires e cash value o be a very high percenage of e accumulaion value a all imes (generally 90% or more) and causes surrender charges o grade off over ime, even if new surrender charges are creaed rough paymen of addiional premiums or crediing of excess ineres. 4 I is imporan o noe a e Floor Reserve has been designed so a adding a GIB benefi o an exising conrac will no lower e Floor Reserve below wha would resul wiou i. The formulas specified for e Floor Reserve in Appendix B may help o explain why is is so. I should also be noed a e formulas for β assume coninuaion pas e valuaion dae of all ised Benefis while e formulas forα assume all ised Benefis are erminaed on e valuaion dae. Furer, i is worwhile noing a under e VM-22 requiremens currenly under consideraion by e ARWG, all business, including conracs wi a GIB, will no have a reserve less an e Modeled Reserve described in e repor. We undersand a ATF may wan any poenial modificaions o reserve requiremens prior o adopion of VM-22 (e.g., o address reserves for GIB business currenly resuling from AG 33) o be consisen wi e β porion of e Floor Reserve described in is repor. Thus, providing e Subgroup wi e informaion in is repor may prove valuable in is consideraion of changes o exising GIB reserve requiremens. Refer o Appendix B for formulas specifying how α and β are o be calculaed. Modeled Reserve. The counerpar o e Sochasic Reserve under VM-20 or e Condiional Tail Expecaion Amoun under VM-21 (AG 43) is e Modeled Reserve. However, ere are key differences beween em under our curren proposal: 4 A recen possible excepion o is rule is inroduced by e curren rend in deferred annuiy produc developmen o incorporae benefis no recognized by e curren annuiy nonforfeiure law, such as wi Guaraneed ifeime Income Benefis (GIBs). Producs wi ese benefis may sill have significan cash values, bu ere is ypically no componen of e cash value a recognizes ese benefis despie e reducion in e accumulaion value (and cash value) where charges are deduced for e exra benefi. 4

5 Insead of a large number (perhaps a ousand or more) scenarios focusing solely on e ineres rae and/or marke risks, we anicipae proposing a a small number of scenarios for each of e criical risks for each produc group will be used o develop e reserve. The proposed scenario projecions will be performed using e company's anicipaed experience assumpions for ose assumpions wiin e company's conrol and use prescribed meods for seing all oer assumpions. The resul derived from e scenarios will be an amoun called e Curren Esimae Reserve. An aggregae margin (a.k.a. Margin over Curren Esimae) will be added o e Curren Esimae Reserve o produce e Modeled Reserve. This resul will be compared o e Floor Reserve. I has been suggesed a some ype of addiional scenario esing may need o be performed on e larger of e Floor Reserve and e Modeled Reserve o produce e final reserve bu we have no considered is in any dep. Comparison of Reserve Feaures. To faciliae a comparison beween e enaive requiremens described in is repor wi (i) ose currenly required for sauory reporing and (ii) ose conained wiin VM-20 & VM-21, we have prepared e following wo chars: 5

6 Annuiy Reserve Change Comparison Aspec Curren Requiremen Currenly Envisioned for VM-22 CARVM wi AG 33 and oer Acuarial Guidelines. Defined Subjec o aggregae asse Reserve adequacy analysis a e company level. Magniude of Curren Reserve and Floor Reserve Reserve Assumpions CARVM Reserve under AG-33 is Greaes Presen Value of all possible Inegraed Benefi Sreams, subjec o e Cash Value Floor Those required under e curren Sandard Valuaion aw Greaer of Floor Reserve and Modeled Reserve. 5 Subjec o asse adequacy analysis a eier e company level or perhaps a a block-of-business or line of business level. α is similar o exising CARVM, bu wi prescribed lapse raes adjused for ITM of rich non-lised benefis. For α, no fuure charges or benefis relaed o ised Benefis are included in e calculaions. α is a GPV calculaion. For β, prescribed lapse raes, adjused for ITM of e ised Benefis and "rich" non-lised benefis, and prescribed ised Benefi incidence raes are included in e calculaions. β is a PV calculaion of a single Inegraed Benefi Sream for each ised Benefi. The Floor Reserve for each conrac is e larger of α and β, subjec o e Cash Value Floor. For e Floor Reserve, assumpions are ose currenly required for CARVM sauory valuaion excep for e prescribed lapse assumpions, adjused for ITM (α and β) and e prescribed incidence raes for e ised Benefi Inegraed Benefi Sream (β). For e Modeled Reserve, assumpions are e acuary's anicipaed experience assumpions plus prescribed variaions 6 in e criical assumpions for e calculaion of e Curren Esimae Reserve wi margins provided by e Margin over Curren Esimae (aggregae margin). 5 Noe a we expec o propose a is be expressed in VM-22 as e Floor Reserve, plus e excess, if any, of e Modeled Reserve over e Floor Reserve. 6 See Appendix C 6

7 Reserve Feaures Comparison VM-20 & VM-21 vs. Currenly Envisioned for VM-22 Aspec VM-20 & VM-21 Currenly Envisioned for VM-22 Curren Assumpion Reserve Number of Scenarios Risks Tesed Using Scenarios General Conservaism Requiremen Theoreical Goal of Principle-based Reserve Assumpion Margins Guardrails Audiabiliy of Curren Assumpion Reserve Deerminisic Reserve (VM-20), Sochasic Reserve (VM-20 and VM-21) Generally considered o be a large number (>= 1,000?) for Sochasic, 1 for Deerminisic Generally limied o ineres rae and marke risk. Oer risks are esed by adding margins o anicipaed experience assumpions. CTE 70 + individual assumpion margins CTE measure applied o model resuls where each criical assumpion incorporaing randomness is sochasically modeled. However, curren pracice under VM-20 and VM-21 generally only sochasically model ineres and marke risks. Curren pracice generally resuls in margins added o each assumpion Many required margins or assumpions Time consuming; difficul o manage Modeled Reserve Small number per risk wi muliple risks All criical risks Evaluaion of Criical Risks wi reflecion of possible oucomes in Curren Esimae Reserve plus explici sauory conservaism buil ino e Margin over Curren Esimae (aka Aggregae Margin) Modeled Reserve may ake a large, pracical sep owards is eoreical goal. Margin over Curren Esimae added o Curren Esimae Reserve Requiremens around assumed probabiliy disribuion of curren esimae reserve assumpions, including specified meods for deermining assumed experience for risks ouside e conrol of e company The meodology being considered is inended o make e audi process more manageable 7

8 Minimum Reserve Guaraneed Minimum Dea Benefis Tax Reserve Reserve Assumpions VM-20: arges of Ne Premium Reserve (wi Cash Value Floor), Deerminisic Reserve, and Sochasic Reserve VM-21: arger of Sandard Scenario Reserve (wi Cash Value Floor) and CTE Reserve Refleced in bo reserve componens wi special requiremens in e calculaion of e Accumulaed Ne Revenue, especially o avoid assuming lapses when oer more valuable benefis exis. VM-20: Ne Premium Reserve (wi Cash Value Floor) VM-21: Sandard Scenario Reserve (wi Cash Value Floor) VM-20: Experience Based Assumpions wi margins for Deerminisic Reserve and Sochasic Reserve (wi many margins a are prescribed) and prescribed assumpions for Ne Premium Reserve. VM-21: Prescribed assumpions (including lapse and elecion raes for Accumulaed Ne Revenue porion) for e Sandard Scenario Reserve. Pruden esimae for e CTE Reserve. arger of e Floor Reserve and e Modeled Reserve, where e Floor Reserve is based on e greaes of e Cash Value, α and β, as discussed above. GMDBs are no ised Benefis bu are refleced in α and in β (o e exen e GMDB sill exiss if e ised Benefi is erminaed) componens. An "in e money-ness" es for "rich" non-lised benefis will be included in e lapse rae assumpions o avoid e assumpion of surrendering a policy when a significanly larger dea benefi is available. Expeced o be Floor Reserve (wi Cash Value Floor) α is similar o exising CARVM, bu wi prescribed lapse raes along e GPV pa. The lapse raes would be adjused for ITM if ere are rich non-lised benefis. For α, no fuure charges or benefis relaed o ised Benefis are in e calculaions. For β, prescribed lapse raes (adjused for ITM of e lised benefis and rich non-lised benefis) and ised Benefi incidence raes are included in e calculaions. β is e larges of a PV calculaion of a single Inegraed Benefi Sream for each ised Benefi. Reserve is larger of α and β, subjec o e Cash Value Floor. Coordinaion wi Asse Adequacy Analysis The resuling reserves are required o be included in e companywide asse adequacy analysis. Some acuaries believe eier e Sochasic Reserve consiues a Cash Flow Tesing exercise or a modificaions of e sochasic esing can be used for CFT. Similar coordinaion is expeced, bu in addiion, e need for addiional scenario esing is under consideraion. 8

9 Appendix A Imporan Issues Being Considered A. Decrease complexiy from a in AG-43 and VM Make e meodology easier o implemen 2. Make e meodology less dependen on large amouns of compuer power 3. Increase e opporuniy o explain volailiy of resuls beween valuaion daes B. Increase audiabiliy C. Develop a meod (Modeled Reserve) a considers e producs key risks in e reserve calculaion (i.e., no jus ineres and equiy risks) D. Develop a meod a is flexible enough o encompass combinaion producs and oer produc innovaion E. Develop a meod a produces reserves and analysis a provides value o Company Managemen F. Poenially allow a company a passes an exclusion es o hold reserves greaer an e Floor Reserve in lieu of calculaing a Modeled Reserve G. Ensure a any changes made o AG-33 before VM-22 is finalized are considered in drafing VM-22, and a discussions regarding VM-22 are considered in any changes made o AG-33. 9

10 n V x α = i= 1 { αβ} = max, i n { PVIBSx } Appendix B Documenaion of Floor Reserve Formulas CARVM Reserve compued assuming all ised Benefis have been erminaed wi no furer charges assessed * i= = max * furer charges no o be deduced following e valuaion dae for all ised Benefis where: i represens an index of e (generally) infiniely large number of Inegraed Benefi Sreams o be considered under CARVM, Ω x n Ω x n i n i i NE i NE i i w i PVIBSx v 1px+ n qx+ n+ 1 NEBn+ v px+ n qx+ n+ CVn+ NE = 1 = 1 q = + + Ω x n = 1 i NE i f x+ n+ x+ n+ 1 and v p q FPW q { i NE, i f Vqx n Vqn n} i i f i x+ n x+ n+ n+ are elemens of e i se of assumed incidence rae vecors, + + corresponding o i IBS n, e x i Inegraed Benefi Sream, wi e "V" i NE lef-subscrip indicaing "vecor" and Vq x + represening a collecion of vecors, one n for each Non-Elecive Benefi (such as i d for moraliy raes), and for valuaion a e i f Vq n + n Vq x + n q = q q q q Ω 1 and e oer i NE Vq x + vecors, n i d i d i d i d i d n duraion, wi V x+ n { x+ n, x+ n+ 1, x+ n+ 2,..., }, of Elecive Benefis defined similarly i q + + are elemens of i w x n w Vq x + n, a prescribed vecor of lapse (surrender) raes i 0 p x + n= 1, wi successive values defined recursively, where i i NE n ( 1 ) ( 1 ) p = p q q q i i i w i f i NE x+ n 1 x+ n x+ n+ 1 x+ n+ 1 x+ n+ 1 NE NEB + is e Non-Elecive Benefi amoun a ime n+ for e For example, for e conrac dea benefi, is would be i DB + NE Non-Elecive Benefi. and would include e dea benefis provided by any Guaraneed Minimum Dea Benefis CV n + is e conrac cash value a e end of year n+. The conrac cash value as of e valuaion dae will reflec all pas premiums, charges and benefis. n 10

11 FPW n + is e assumed amoun of free widrawal aken a e end of year n+. Noe a is is no necessarily e maximum free widrawal amoun, bu raer e amoun assumed as e free widrawal. In pracice, of course, is is ypically se equal o e maximum free widrawal amoun. i n β = max{ PVIBSx}, where Ω x n Ω x n n NE NE wb PVIBSx v 1px+ n qx+ n+ 1 NEBx+ n+ v px+ n qx+ n+ CVn+ NE = 1 = 1 Ω x n f v px+ n qx+ n+ FPWn+ + = 1 Ω x n v px+ n qx+ n+ = 1 where = + + Ω ( x+ ) k = 1 k 1 a NEa a v k 1px+ n+ v qx+ n+ + k 1 NEBn+ + k + AP + v q CV NE wa a n+ x+ n++ k n++ k is among e se of ised Benefis (GIB, regular annuiizaion, upper ier annuiizaion of a wo-iered annuiy, ec.) and indicaes a paricular such benefi, wi e maximum over all values of providing e conribuions o e presen value of all such ised Benefis aken ogeer. All vecors of incidence raes (excep ose specifically noed below) are as defined as for e calculaion of i PVIBS n excep a ey are specific prescribed values for e x ised Benefi insead of being elemens of e assumpion vecors for e i Inegraed Benefi Sream Drafing Noe: Benefis and incidence raes below are annoaed wi o indicae a a eir value may be dependen on or differen afer uilizaion of e lised benefi. NE NEB n + is e Non-Elecive Benefi amoun a ime n+ for e NE Non-Elecive Benefi. For example, for e conrac dea benefi, is would be DB + and would include any dea benefis provided by e ised Benefi and any Guaraneed Minimum Dea Benefi a CV n ++ k is e conrac cash value a e end of year n++k and reflecs any changes from CV n + (e cash value derived assuming ised Benefi is in force bu prior o elecion of e ised Benefi) a resul from elecion of ised Benefi. For example, if Benefi is a GIB, en widrawals made under e GIB will ypically also be deduced from e conrac accumulaion value and a consequen 11 n

12 n reducion in CV n + will resul. Noe a bo ese values are disinc from i CV n + for e i Inegraed Benefi Sream in e calculaion of α where i is assumed a e ised Benefis are erminaed on e valuaion dae. FPW + is e assumed amoun of free widrawal aken a e end of year n+ on a basis wb x n consisen wi e calculaion of i PVIBS n and us also reflecs elecion of ised x Benefi. q + + is e prescribed lapse rae applicable before uilizaion or elecion of a lised benefi wa q x + n ++ k is e prescribed lapse rae, if any, applicable afer uilizaion or elecion of a lised benefi DRAFTING NOTE: An example of prescribed lapse raes migh be a e lapse rae is a consan percenage a does no vary excep by In-The-Moneyness Percenage (ITM%) caegory. ITM% = 100 * ((Max PV (Benefi) / CV) 1): ITM% Caegory apse% ITM% < 10% 1.00 * apse% 10% <= ITM% < 20% 0.50 * apse% 20% <= ITM% < 50% 0.25 * apse% 50% <= ITM% 0.00% When e policy cash value is depleed, apse% = 0%. NEa NEB n ++ is e Non-Elecive Benefi amoun a ime n+ for e k NE Non-Elecive Benefi afer elecion of benefi. AP + is e "annuiy paymen" (or GIB widrawal amoun) under benefi. n q x + n + is e prescribed incidence rae for benefi p a k 1 x+ n+ survivorship values reflec e moraliy and lapse raes afer elecion of benefi, a a a wa NEa so a 0 px+ n+ = p and x+ n p = 1p (1 q 1) (1 q 1) k x+ n+ k x+ n+ x+ n+ + k x+ n+ + k NE 0 p x + n= 1, wi successive values defined recursively, where p = p 1 q w q f 1 q NE ( ) ( ) x+ n 1 x+ n x+ n+ 1 x+ n+ 1 x+ n+ 1 NE 12

13 Appendix C Deailed Descripion of e Modeled Reserve Meodology Being Examined by ARWG The inen of e meodology for e Modeled Reserve is o approximae e reserve a would be deermined using e approach specified for e sochasic reserve under VM-20 or VM-21 bu sochasically modeling all assumpions whose values could be considered o vary randomly (or have a random componen). However, e desire is o approximae a kind of reserve using a process a is less calculaion-inensive and more audiable. In shor, e idea is o use a small number of specially consruced scenarios in place of e full complemen of scenarios generally required under sochasic scenario simulaions. A se of such scenarios would be required for each of e major risks affecing a given produc group and no resriced o jus invesmen risks. The resuls from e small number of scenarios are o be used in a very mechanical and specified way. We are hopeful is will make e process more ransparen and less burdensome. From an audi poin of view, i could us become more pracical o audi bo e consrucion of e scenarios across all major risks and e process by which scenario resuls are used o calculae bo e Curren Esimae Reserve (i.e., e reserve calculaed wiou margins) and e aggregae margin over curren esimae in e Modeled Reserve. In order o apply e meodology, one mus idenify a block of business for which e specrum of criical risks is e same and e supporing asses o be valued for reserve purposes. These asses and liabiliies will be used in an asse / liabiliy model o calculae e scenario reserves (defined below) a will be used o deermine e Modeled Reserve for a given block of business sharing e same primary risk drivers. The uni of accoun for e Modeled Reserve is erefore e block of business. The meodology can be oulined as follows: 1. Deermine a small number of primary risk drivers for is business. This may include e invesmen environmen, moraliy, persisency, and one or more ypes of conracolder behavior (e.g., opion elecion raes) depending on e produc. 2. For each primary risk driver, deermine e anicipaed experience assumpion. Ideally is deerminaion would be deermined using e principles ariculaed in e Valuaion Manual, bu ATF may wish o pu some limis on e range of experience a can be assumed. 3. For each primary risk driver, develop a probabiliy disribuion around e anicipaed experience a each fuure period. These disribuions need o be specific enough a e experience a a specified percenile level ("prescribed variaion" o be specified in VM-22) in e disribuion can be calculaed. For example e mean, sandard deviaion, and skewness may be specified. 4. For each primary risk driver, use e anicipaed experience and e disribuion around a experience o develop a small number of scenarios. These scenarios will be defined formulaically based on e anicipaed experience and e disribuions. The resul will be a small se of scenarios a represens a sample of e acual disribuion of resuls for a risk driver. One of ese scenarios mus be e anicipaed experience, and one mus be e wors 13

14 realisic experience a e sum of reserves and capial is expeced o cover someing a perhaps e 99 percenile level. For every bad scenario, an equally good scenario mus be included in e group of scenarios. A probabiliy will be assigned o each scenario, wi e sum of e probabiliies adding o 100% wiin a risk driver. However, e exac number of such probabiliies and eir values have ye o be deermined. 5. Calculae a scenario reserve for each scenario for each risk driver. The scenario reserve is e presen value of e fuure produc cash flows and expenses in a scenario, discouned using e monly invesmen reurns in a scenario. 6. Calculae e curren esimae reserve. This is e probabiliy-weighed average of all e scenarios across all risks. This represens a mean raer an a median, and may be higher an e anicipaed experience scenario reserve due o e opionaliy of e asses and liabiliies and e skewness of e disribuion of scenario resuls. 7. Calculae e componen risk amoun for each primary risk driver. This is e excess of e greaes scenario reserve for a risk driver over e Curren Esimae reserve. 8. Calculae a composie risk amoun. This is inended o be e sum of e componen risk amouns, adjused for correlaions beween risks. The general concep for calculaing is combined sum have no ye been specified bu migh resemble e formula used o combine C- 1, C-2, C-3, and C-4 risks in RBC, which akes accoun of independen and dependen risk facors. 9. Use e composie risk amoun o calculae an aggregae reserve margin. Two meods are under consideraion for e aggregae reserve margin e confidence level meod and e cos of capial meod. The composie risk amoun can be used wiin eier meod o calculae a reserve margin. Deails of e way e composie risk amoun would be used in each meod are beyond e scope of is repor. Acuarial judgmen mus be applied in several seps in is process. ATF may wish o pu limis on e exercise of professional acuarial judgmen in e following areas: 1. Deerminaion of e anicipaed experience. For assumpions a are largely ouside e conrol of e company, such as e invesmen environmen and some elemens of conracolder behavior, regulaors may specify e meodology for developing e anicipaed experience. For assumpions for which experience is relevan and emerging bu no fully credible, regulaors may wish o pu limis on e range of wha can be anicipaed experience. 2. Deerminaion of e probabiliy disribuion around anicipaed experience. ATF may wish o specify e meodology for developing assumpions a are largely ouside e conrol of e company. For oer assumpions, regulaors may wish o specify e wid and/or skewness of e disribuion a mus be used. Since we would anicipae a a grea deal of judgmen may be required in is area, regulaors may ake e approach of specifying e range and skewness a mus be used for mos common risk drivers, allowing excepions only wi e approval of e commissioner. Alernaively, a qualified, independen organizaion could be assigned o make ese esimaes and updae em periodically. 14

15 3. Assigning probabiliies o each scenario. This needs o be done a wo levels. Firs ere is a se of probabiliies for each scenario wiin a risk driver, and second ere is a relaive weigh o be given o each risk driver. The relaive probabiliies for scenarios wiin a risk driver will be specified because ey mus be consisen wi e means by which e scenarios emselves are formulaically consruced. However, our recommendaions for e relaive weigh given o each risk driver (i.e., e oal weigh for all is scenarios) are sill an open issue. Consideraion should be given o e sensiiviy of e modeled reserve o e risk facor in developing e weighs. ATF may wish o consider wheer more guidance is needed in is area. Modeled Reserve Exclusion Tes I is uncerain a is ime wheer we will recommend a an exclusion es be provided under which companies may exclude blocks of business from e calculaion of e Modeled Reserve. However, in e even is is deemed necessary and appropriae, a es could be developed a would allow e reserve for blocks of business passing e es o be equal o e curren CARVM reserve or oer amoun. 15

A pricing model for the Guaranteed Lifelong Withdrawal Benefit Option

A pricing model for the Guaranteed Lifelong Withdrawal Benefit Option A pricing model for he Guaraneed Lifelong Wihdrawal Benefi Opion Gabriella Piscopo Universià degli sudi di Napoli Federico II Diparimeno di Maemaica e Saisica Index Main References Survey of he Variable

More information

Supplement to Models for Quantifying Risk, 5 th Edition Cunningham, Herzog, and London

Supplement to Models for Quantifying Risk, 5 th Edition Cunningham, Herzog, and London Supplemen o Models for Quanifying Risk, 5 h Ediion Cunningham, Herzog, and London We have received inpu ha our ex is no always clear abou he disincion beween a full gross premium and an expense augmened

More information

If You Are No Longer Able to Work

If You Are No Longer Able to Work If You Are No Longer Able o Work NY STRS A Guide for Making Disabiliy Reiremen Decisions INTRODUCTION If you re forced o sop working because of a serious illness or injury, you and your family will be

More information

Constructing Out-of-the-Money Longevity Hedges Using Parametric Mortality Indexes. Johnny Li

Constructing Out-of-the-Money Longevity Hedges Using Parametric Mortality Indexes. Johnny Li 1 / 43 Consrucing Ou-of-he-Money Longeviy Hedges Using Parameric Moraliy Indexes Johnny Li Join-work wih Jackie Li, Udiha Balasooriya, and Kenneh Zhou Deparmen of Economics, The Universiy of Melbourne

More information

(1 + Nominal Yield) = (1 + Real Yield) (1 + Expected Inflation Rate) (1 + Inflation Risk Premium)

(1 + Nominal Yield) = (1 + Real Yield) (1 + Expected Inflation Rate) (1 + Inflation Risk Premium) 5. Inflaion-linked bonds Inflaion is an economic erm ha describes he general rise in prices of goods and services. As prices rise, a uni of money can buy less goods and services. Hence, inflaion is an

More information

Policyholder Exercise Behavior for Variable Annuities including Guaranteed Minimum Withdrawal Benefits 1

Policyholder Exercise Behavior for Variable Annuities including Guaranteed Minimum Withdrawal Benefits 1 Policyholder Exercise Behavior for Variable Annuiies including Guaraneed Minimum Wihdrawal Benefis 1 2 Deparmen of Risk Managemen and Insurance, Georgia Sae Universiy 35 Broad Sree, 11h Floor; Alana, GA

More information

Fundamental Basic. Fundamentals. Fundamental PV Principle. Time Value of Money. Fundamental. Chapter 2. How to Calculate Present Values

Fundamental Basic. Fundamentals. Fundamental PV Principle. Time Value of Money. Fundamental. Chapter 2. How to Calculate Present Values McGraw-Hill/Irwin Chaper 2 How o Calculae Presen Values Principles of Corporae Finance Tenh Ediion Slides by Mahew Will And Bo Sjö 22 Copyrigh 2 by he McGraw-Hill Companies, Inc. All righs reserved. Fundamenal

More information

Documentation: Philadelphia Fed's Real-Time Data Set for Macroeconomists First-, Second-, and Third-Release Values

Documentation: Philadelphia Fed's Real-Time Data Set for Macroeconomists First-, Second-, and Third-Release Values Documenaion: Philadelphia Fed's Real-Time Daa Se for Macroeconomiss Firs-, Second-, and Third-Release Values Las Updaed: December 16, 2013 1. Inroducion We documen our compuaional mehods for consrucing

More information

Analyzing Surplus Appropriation Schemes in Participating Life Insurance from the Insurer s and the Policyholder s Perspective

Analyzing Surplus Appropriation Schemes in Participating Life Insurance from the Insurer s and the Policyholder s Perspective Analyzing Surplus Appropriaion Schemes in Paricipaing Life Insurance from he Insurer s and he Policyholder s Perspecive AFIR Colloquium Madrid, Spain June 22, 2 Alexander Bohner and Nadine Gazer Universiy

More information

Models of Default Risk

Models of Default Risk Models of Defaul Risk Models of Defaul Risk 1/29 Inroducion We consider wo general approaches o modelling defaul risk, a risk characerizing almos all xed-income securiies. The srucural approach was developed

More information

BUDGET ECONOMIC AND FISCAL POSITION REPORT

BUDGET ECONOMIC AND FISCAL POSITION REPORT BUDGET ECONOMIC AND FISCAL POSITION REPORT - 2004 Issued by he Hon. Miniser of Finance in Terms of Secion 7 of he Fiscal Managemen (Responsibiliy) Ac No. 3 of 1. Inroducion Secion 7 of he Fiscal Managemen

More information

EVA NOPAT Capital charges ( = WACC * Invested Capital) = EVA [1 P] each

EVA NOPAT Capital charges ( = WACC * Invested Capital) = EVA [1 P] each VBM Soluion skech SS 2012: Noe: This is a soluion skech, no a complee soluion. Disribuion of poins is no binding for he correcor. 1 EVA, free cash flow, and financial raios (45) 1.1 EVA wihou adjusmens

More information

GUIDELINE Solactive Bitcoin Front Month Rolling Futures 5D Index ER. Version 1.0 dated December 8 th, 2017

GUIDELINE Solactive Bitcoin Front Month Rolling Futures 5D Index ER. Version 1.0 dated December 8 th, 2017 GUIDELINE Solacive Bicoin Fron Monh Rolling Fuures 5D Index ER Version 1.0 daed December 8 h, 2017 Conens Inroducion 1 Index specificaions 1.1 Shor name and ISIN 1.2 Iniial value 1.3 Disribuion 1.4 Prices

More information

FINAL EXAM EC26102: MONEY, BANKING AND FINANCIAL MARKETS MAY 11, 2004

FINAL EXAM EC26102: MONEY, BANKING AND FINANCIAL MARKETS MAY 11, 2004 FINAL EXAM EC26102: MONEY, BANKING AND FINANCIAL MARKETS MAY 11, 2004 This exam has 50 quesions on 14 pages. Before you begin, please check o make sure ha your copy has all 50 quesions and all 14 pages.

More information

Corporate Finance. Capital budgeting. Standalone risk of capital project

Corporate Finance. Capital budgeting. Standalone risk of capital project Corporae Finance Capial budgeing Iniial oulay = FCInv + NWCInv Sal afer ax operaing cashflow = 0 + T ( Sal0 B0 ) ( R C)( 1 ax) + ax Ter min al year non opereaing cashflow = Sal T Dep + NWCInv ax ( Sal

More information

GUIDELINE Solactive Gold Front Month MD Rolling Futures Index ER. Version 1.1 dated April 13 th, 2017

GUIDELINE Solactive Gold Front Month MD Rolling Futures Index ER. Version 1.1 dated April 13 th, 2017 GUIDELINE Solacive Gold Fron Monh MD Rolling Fuures Index ER Version 1.1 daed April 13 h, 2017 Conens Inroducion 1 Index specificaions 1.1 Shor name and ISIN 1.2 Iniial value 1.3 Disribuion 1.4 Prices

More information

Session IX: Special topics

Session IX: Special topics Session IX: Special opics 2. Subnaional populaion projecions 10 March 2016 Cheryl Sawyer, Lina Bassarsky Populaion Esimaes and Projecions Secion www.unpopulaion.org Maerials adaped from Unied Naions Naional

More information

INSTITUTE OF ACTUARIES OF INDIA

INSTITUTE OF ACTUARIES OF INDIA INSIUE OF ACUARIES OF INDIA EAMINAIONS 23 rd May 2011 Subjec S6 Finance and Invesmen B ime allowed: hree hours (9.45* 13.00 Hrs) oal Marks: 100 INSRUCIONS O HE CANDIDAES 1. Please read he insrucions on

More information

HEDGING SYSTEMATIC MORTALITY RISK WITH MORTALITY DERIVATIVES

HEDGING SYSTEMATIC MORTALITY RISK WITH MORTALITY DERIVATIVES HEDGING SYSTEMATIC MORTALITY RISK WITH MORTALITY DERIVATIVES Workshop on moraliy and longeviy, Hannover, April 20, 2012 Thomas Møller, Chief Analys, Acuarial Innovaion OUTLINE Inroducion Moraliy risk managemen

More information

The Mathematics Of Stock Option Valuation - Part Four Deriving The Black-Scholes Model Via Partial Differential Equations

The Mathematics Of Stock Option Valuation - Part Four Deriving The Black-Scholes Model Via Partial Differential Equations The Mahemaics Of Sock Opion Valuaion - Par Four Deriving The Black-Scholes Model Via Parial Differenial Equaions Gary Schurman, MBE, CFA Ocober 1 In Par One we explained why valuing a call opion as a sand-alone

More information

Synthetic CDO s and Basket Default Swaps in a Fixed Income Credit Portfolio

Synthetic CDO s and Basket Default Swaps in a Fixed Income Credit Portfolio Synheic CDO s and Baske Defaul Swaps in a Fixed Income Credi Porfolio Louis Sco June 2005 Credi Derivaive Producs CDO Noes Cash & Synheic CDO s, various ranches Invesmen Grade Corporae names, High Yield

More information

4452 Mathematical Modeling Lecture 17: Modeling of Data: Linear Regression

4452 Mathematical Modeling Lecture 17: Modeling of Data: Linear Regression Mah Modeling Lecure 17: Modeling of Daa: Linear Regression Page 1 5 Mahemaical Modeling Lecure 17: Modeling of Daa: Linear Regression Inroducion In modeling of daa, we are given a se of daa poins, and

More information

Optimal Early Exercise of Vulnerable American Options

Optimal Early Exercise of Vulnerable American Options Opimal Early Exercise of Vulnerable American Opions March 15, 2008 This paper is preliminary and incomplee. Opimal Early Exercise of Vulnerable American Opions Absrac We analyze he effec of credi risk

More information

UCLA Department of Economics Fall PhD. Qualifying Exam in Macroeconomic Theory

UCLA Department of Economics Fall PhD. Qualifying Exam in Macroeconomic Theory UCLA Deparmen of Economics Fall 2016 PhD. Qualifying Exam in Macroeconomic Theory Insrucions: This exam consiss of hree pars, and you are o complee each par. Answer each par in a separae bluebook. All

More information

A Method for Estimating the Change in Terminal Value Required to Increase IRR

A Method for Estimating the Change in Terminal Value Required to Increase IRR A Mehod for Esimaing he Change in Terminal Value Required o Increase IRR Ausin M. Long, III, MPA, CPA, JD * Alignmen Capial Group 11940 Jollyville Road Suie 330-N Ausin, TX 78759 512-506-8299 (Phone) 512-996-0970

More information

APRA Research Methodology for Analysis of Superannuation Funds

APRA Research Methodology for Analysis of Superannuation Funds Curren Research Quesions APRA Research Mehodology for Analysis of Superannuaion Funds Wha are he deerminans of he cross-secional variaion in superannuaion reurns? Asse allocaion, manager skill, expenses/axes

More information

ANSWER ALL QUESTIONS. CHAPTERS 6-9; (Blanchard)

ANSWER ALL QUESTIONS. CHAPTERS 6-9; (Blanchard) ANSWER ALL QUESTIONS CHAPTERS 6-9; 18-20 (Blanchard) Quesion 1 Discuss in deail he following: a) The sacrifice raio b) Okun s law c) The neuraliy of money d) Bargaining power e) NAIRU f) Wage indexaion

More information

Inventory Investment. Investment Decision and Expected Profit. Lecture 5

Inventory Investment. Investment Decision and Expected Profit. Lecture 5 Invenory Invesmen. Invesmen Decision and Expeced Profi Lecure 5 Invenory Accumulaion 1. Invenory socks 1) Changes in invenory holdings represen an imporan and highly volaile ype of invesmen spending. 2)

More information

Suggested Template for Rolling Schemes for inclusion in the future price regulation of Dublin Airport

Suggested Template for Rolling Schemes for inclusion in the future price regulation of Dublin Airport Suggesed Templae for Rolling Schemes for inclusion in he fuure price regulaion of Dublin Airpor. In line wih sandard inernaional regulaory pracice, he regime operaed since 00 by he Commission fixes in

More information

Acceleration Techniques for Life Cash Flow Projection Based on Many Interest Rates Scenarios Cash Flow Proxy Functions

Acceleration Techniques for Life Cash Flow Projection Based on Many Interest Rates Scenarios Cash Flow Proxy Functions Acceleraion Techniques for Life Cash Flow Projecion Based on Many Ineres Raes Scenarios Cash Flow Proxy Funcions Auhor: Marin Janeček, Tools4F, s.r.o. and Economic Universiy in Prague, 207 Acknowledgmen:

More information

Chapter Outline CHAPTER

Chapter Outline CHAPTER 8-0 8-1 Chaper Ouline CHAPTER 8 Sraegy and Analysis in Using Ne Presen Value 8.1 Decision Trees 8.2 Sensiiviy Analysis, Scenario Analysis, and Break-Even Analysis 8.3 Mone Carlo Simulaion 8. Opions 8.5

More information

Final Exam Answers Exchange Rate Economics

Final Exam Answers Exchange Rate Economics Kiel Insiu für Welwirhschaf Advanced Sudies in Inernaional Economic Policy Research Spring 2005 Menzie D. Chinn Final Exam Answers Exchange Rae Economics This exam is 1 ½ hours long. Answer all quesions.

More information

Valuing Real Options on Oil & Gas Exploration & Production Projects

Valuing Real Options on Oil & Gas Exploration & Production Projects Valuing Real Opions on Oil & Gas Exploraion & Producion Projecs March 2, 2006 Hideaka (Hugh) Nakaoka Former CIO & CCO of Iochu Oil Exploraion Co., Ld. Universiy of Tsukuba 1 Overview 1. Inroducion 2. Wha

More information

LIDSTONE IN THE CONTINUOUS CASE by. Ragnar Norberg

LIDSTONE IN THE CONTINUOUS CASE by. Ragnar Norberg LIDSTONE IN THE CONTINUOUS CASE by Ragnar Norberg Absrac A generalized version of he classical Lidsone heorem, which deals wih he dependency of reserves on echnical basis and conrac erms, is proved in

More information

VERIFICATION OF ECONOMIC EFFICIENCY OF LIGNITE DEPOSIT DEVELOPMENT USING THE SENSITIVITY ANALYSIS

VERIFICATION OF ECONOMIC EFFICIENCY OF LIGNITE DEPOSIT DEVELOPMENT USING THE SENSITIVITY ANALYSIS 1 Beaa TRZASKUŚ-ŻAK 1, Kazimierz CZOPEK 2 MG 3 1 Trzaskuś-Żak Beaa PhD. (corresponding auhor) AGH Universiy of Science and Technology Faculy of Mining and Geoengineering Al. Mickiewicza 30, 30-59 Krakow,

More information

The macroeconomic effects of fiscal policy in Greece

The macroeconomic effects of fiscal policy in Greece The macroeconomic effecs of fiscal policy in Greece Dimiris Papageorgiou Economic Research Deparmen, Bank of Greece Naional and Kapodisrian Universiy of Ahens May 22, 23 Email: dpapag@aueb.gr, and DPapageorgiou@bankofgreece.gr.

More information

PRESS RELEASE EURO AREA ECONOMIC AND FINANCIAL DEVELOPMENTS BY INSTITUTIONAL SECTOR - FIRST QUARTER August 2012

PRESS RELEASE EURO AREA ECONOMIC AND FINANCIAL DEVELOPMENTS BY INSTITUTIONAL SECTOR - FIRST QUARTER August 2012 1 Augus 212 PRESS RELEASE EURO AREA ECONOMIC AND FINANCIAL DEVELOPMENTS BY INSTITUTIONAL SECTOR - FIRST QUARTER 212 In he firs quarer of 212, he annual growh rae 1 of households gross disposable income

More information

Problem Set 1 Answers. a. The computer is a final good produced and sold in Hence, 2006 GDP increases by $2,000.

Problem Set 1 Answers. a. The computer is a final good produced and sold in Hence, 2006 GDP increases by $2,000. Social Analysis 10 Spring 2006 Problem Se 1 Answers Quesion 1 a. The compuer is a final good produced and sold in 2006. Hence, 2006 GDP increases by $2,000. b. The bread is a final good sold in 2006. 2006

More information

INSTITUTE OF ACTUARIES OF INDIA

INSTITUTE OF ACTUARIES OF INDIA INSTITUTE OF ACTUARIES OF INDIA EXAMINATIONS 05 h November 007 Subjec CT8 Financial Economics Time allowed: Three Hours (14.30 17.30 Hrs) Toal Marks: 100 INSTRUCTIONS TO THE CANDIDATES 1) Do no wrie your

More information

Jarrow-Lando-Turnbull model

Jarrow-Lando-Turnbull model Jarrow-Lando-urnbull model Characerisics Credi raing dynamics is represened by a Markov chain. Defaul is modelled as he firs ime a coninuous ime Markov chain wih K saes hiing he absorbing sae K defaul

More information

Macroeconomics II A dynamic approach to short run economic fluctuations. The DAD/DAS model.

Macroeconomics II A dynamic approach to short run economic fluctuations. The DAD/DAS model. Macroeconomics II A dynamic approach o shor run economic flucuaions. The DAD/DAS model. Par 2. The demand side of he model he dynamic aggregae demand (DAD) Inflaion and dynamics in he shor run So far,

More information

Information Document Capacity Market Auction Guidelines ID #[xxxx-xx]

Information Document Capacity Market Auction Guidelines ID #[xxxx-xx] s are no auhoriaive. s are for informaion purposes only and are inended o provide guidance. In he even of any discrepancy beween an and any Auhoriaive Documen(s) 1 in effec, he Auhoriaive Documen(s) governs.

More information

CHRISTOPH MÖHR ABSTRACT

CHRISTOPH MÖHR ABSTRACT MARKET-CONSISTENT VALUATION OF INSURANCE LIABILITIES BY COST OF CAPITAL BY CHRISTOPH MÖHR ABSTRACT This paper invesigaes marke-consisen valuaion of insurance liabiliies in he conex of Solvency II among

More information

Origins of currency swaps

Origins of currency swaps Origins of currency swaps Currency swaps originally were developed by banks in he UK o help large cliens circumven UK exchange conrols in he 1970s. UK companies were required o pay an exchange equalizaion

More information

Pricing Vulnerable American Options. April 16, Peter Klein. and. Jun (James) Yang. Simon Fraser University. Burnaby, B.C. V5A 1S6.

Pricing Vulnerable American Options. April 16, Peter Klein. and. Jun (James) Yang. Simon Fraser University. Burnaby, B.C. V5A 1S6. Pricing ulnerable American Opions April 16, 2007 Peer Klein and Jun (James) Yang imon Fraser Universiy Burnaby, B.C. 5A 16 pklein@sfu.ca (604) 268-7922 Pricing ulnerable American Opions Absrac We exend

More information

Stock Market Behaviour Around Profit Warning Announcements

Stock Market Behaviour Around Profit Warning Announcements Sock Marke Behaviour Around Profi Warning Announcemens Henryk Gurgul Conen 1. Moivaion 2. Review of exising evidence 3. Main conjecures 4. Daa and preliminary resuls 5. GARCH relaed mehodology 6. Empirical

More information

Labor Cost and Sugarcane Mechanization in Florida: NPV and Real Options Approach

Labor Cost and Sugarcane Mechanization in Florida: NPV and Real Options Approach Labor Cos and Sugarcane Mechanizaion in Florida: NPV and Real Opions Approach Nobuyuki Iwai Rober D. Emerson Inernaional Agriculural Trade and Policy Cener Deparmen of Food and Resource Economics Universiy

More information

Evaluating Projects under Uncertainty

Evaluating Projects under Uncertainty Evaluaing Projecs under Uncerainy March 17, 4 1 Projec risk = possible variaion in cash flows 2 1 Commonly used measure of projec risk is he variabiliy of he reurn 3 Mehods of dealing wih uncerainy in

More information

Jemena Electricity Networks (Vic) Ltd

Jemena Electricity Networks (Vic) Ltd Jemena Elecriciy Neworks (Vic) Ld 2016-20 Elecriciy Disribuion Price Review Regulaory Proposal Price conrol mechanisms Public 30 April 2015 TABLE OF CONTENTS TABLE OF CONTENTS ii Public 30 April 2015 Jemena

More information

Provide a brief review of futures markets. Carefully review alternative market conditions and which marketing

Provide a brief review of futures markets. Carefully review alternative market conditions and which marketing Provide a brief review of fuures markes. Carefully review alernaive marke condiions and which markeing sraegies work bes under alernaive condiions. Have an open and ineracive discussion!! 1. Sore or Wai

More information

Surrender Risk in the Context of the Quantitative Assessment of Participating Life Insurance Contracts under Solvency II

Surrender Risk in the Context of the Quantitative Assessment of Participating Life Insurance Contracts under Solvency II risks Aricle Surrender Risk in he Conex of he Quaniaive Assessmen of Paricipaing Life Insurance Conracs under Solvency II Tobias Burkhar ifa (Insiue for Finance and Acuarial Sciences), Lise-Meiner-Srasse

More information

Appendix B: DETAILS ABOUT THE SIMULATION MODEL. contained in lookup tables that are all calculated on an auxiliary spreadsheet.

Appendix B: DETAILS ABOUT THE SIMULATION MODEL. contained in lookup tables that are all calculated on an auxiliary spreadsheet. Appendix B: DETAILS ABOUT THE SIMULATION MODEL The simulaion model is carried ou on one spreadshee and has five modules, four of which are conained in lookup ables ha are all calculaed on an auxiliary

More information

How Risky is Electricity Generation?

How Risky is Electricity Generation? How Risky is Elecriciy Generaion? Tom Parkinson The NorhBridge Group Inernaional Associaion for Energy Economics New England Chaper 19 January 2005 19 January 2005 The NorhBridge Group Agenda Generaion

More information

The Effect of Open Market Repurchase on Company s Value

The Effect of Open Market Repurchase on Company s Value The Effec of Open Marke Repurchase on Company s Value Xu Fengju Wang Feng School of Managemen, Wuhan Universiy of Technology, Wuhan, P.R.China, 437 (E-mail:xfju@63.com, wangf9@63.com) Absrac This paper

More information

Portfolio investments accounted for the largest outflow of SEK 77.5 billion in the financial account, which gave a net outflow of SEK billion.

Portfolio investments accounted for the largest outflow of SEK 77.5 billion in the financial account, which gave a net outflow of SEK billion. BALANCE OF PAYMENTS DATE: 27-11-27 PUBLISHER: Saisics Sweden Balance of Paymens and Financial Markes (BFM) Maria Falk +46 8 6 94 72, maria.falk@scb.se Camilla Bergeling +46 8 6 942 6, camilla.bergeling@scb.se

More information

Behavior-driven glide path design

Behavior-driven glide path design June 2018 Behavior-driven glide pah design Posiioning invesors for greaer self-funded reiremen success For insiuional use only Execuive summary The glide pah for Charles Schwab Invesmen Managemen s (CSIM

More information

Advanced Tools for Risk Management and Asset Pricing

Advanced Tools for Risk Management and Asset Pricing MSc. Finance/CLEFIN 214/215 Ediion Advanced Tools for Risk Managemen and Asse Pricing May 215 Exam for Non-Aending Sudens Soluions Time Allowed: 13 minues Family Name (Surname) Firs Name Suden Number (Mar.)

More information

Transaction Codes Guide

Transaction Codes Guide Appendix Transacion Codes Guide Oracle Uiliies Work and Asse Managemen conains several ransacion logs ha are used by he sysem o record changes o cerain informaion in he daabase. Transacion Logs provide

More information

Description of the CBOE S&P 500 2% OTM BuyWrite Index (BXY SM )

Description of the CBOE S&P 500 2% OTM BuyWrite Index (BXY SM ) Descripion of he CBOE S&P 500 2% OTM BuyWrie Index (BXY SM ) Inroducion. The CBOE S&P 500 2% OTM BuyWrie Index (BXY SM ) is a benchmark index designed o rack he performance of a hypoheical 2% ou-of-he-money

More information

MA Advanced Macro, 2016 (Karl Whelan) 1

MA Advanced Macro, 2016 (Karl Whelan) 1 MA Advanced Macro, 2016 (Karl Whelan) 1 The Calvo Model of Price Rigidiy The form of price rigidiy faced by he Calvo firm is as follows. Each period, only a random fracion (1 ) of firms are able o rese

More information

Principles of Finance CONTENTS

Principles of Finance CONTENTS Principles of Finance CONENS Value of Bonds and Equiy... 3 Feaures of bonds... 3 Characerisics... 3 Socks and he sock marke... 4 Definiions:... 4 Valuing equiies... 4 Ne reurn... 4 idend discoun model...

More information

2. Quantity and price measures in macroeconomic statistics 2.1. Long-run deflation? As typical price indexes, Figure 2-1 depicts the GDP deflator,

2. Quantity and price measures in macroeconomic statistics 2.1. Long-run deflation? As typical price indexes, Figure 2-1 depicts the GDP deflator, 1 2. Quaniy and price measures in macroeconomic saisics 2.1. Long-run deflaion? As ypical price indexes, Figure 2-1 depics he GD deflaor, he Consumer rice ndex (C), and he Corporae Goods rice ndex (CG)

More information

The Fair Value of Insurance Contracts by Sam Gutterman, David Rogers, Larry Rubin, David Scheinerman

The Fair Value of Insurance Contracts by Sam Gutterman, David Rogers, Larry Rubin, David Scheinerman The Fair Value of Insurance Conracs by Sam Guerman, David Rogers, Larry Rubin, David Scheinerman Execuive summary Over he las decades, accouning sandard seers have given greaer emphasis o he use of fair

More information

FAIR VALUATION OF INSURANCE LIABILITIES. Pierre DEVOLDER Université Catholique de Louvain 03/ 09/2004

FAIR VALUATION OF INSURANCE LIABILITIES. Pierre DEVOLDER Université Catholique de Louvain 03/ 09/2004 FAIR VALUATION OF INSURANCE LIABILITIES Pierre DEVOLDER Universié Caholique de Louvain 03/ 09/004 Fair value of insurance liabiliies. INTRODUCTION TO FAIR VALUE. RISK NEUTRAL PRICING AND DEFLATORS 3. EXAMPLES

More information

Memorandum of Understanding

Memorandum of Understanding MoU producer_buyer_faciliaor.doc Dae Memorandum of Undersanding beween: he producer organisaion: < of organisaion> he rading parner: < of rading parner> and he faciliaing organisaion: < of faciliaing organisaion>

More information

Empirical analysis on China money multiplier

Empirical analysis on China money multiplier Aug. 2009, Volume 8, No.8 (Serial No.74) Chinese Business Review, ISSN 1537-1506, USA Empirical analysis on China money muliplier SHANG Hua-juan (Financial School, Shanghai Universiy of Finance and Economics,

More information

Data-Driven Demand Learning and Dynamic Pricing Strategies in Competitive Markets

Data-Driven Demand Learning and Dynamic Pricing Strategies in Competitive Markets Daa-Driven Demand Learning and Dynamic Pricing Sraegies in Compeiive Markes Pricing Sraegies & Dynamic Programming Rainer Schlosser, Marin Boissier, Mahias Uflacker Hasso Planer Insiue (EPIC) April 30,

More information

An Analytical Implementation of the Hull and White Model

An Analytical Implementation of the Hull and White Model Dwigh Gran * and Gauam Vora ** Revised: February 8, & November, Do no quoe. Commens welcome. * Douglas M. Brown Professor of Finance, Anderson School of Managemen, Universiy of New Mexico, Albuquerque,

More information

COOPERATION WITH TIME-INCONSISTENCY. Extended Abstract for LMSC09

COOPERATION WITH TIME-INCONSISTENCY. Extended Abstract for LMSC09 COOPERATION WITH TIME-INCONSISTENCY Exended Absrac for LMSC09 By Nicola Dimiri Professor of Economics Faculy of Economics Universiy of Siena Piazza S. Francesco 7 53100 Siena Ialy Dynamic games have proven

More information

Li Gan Guan Gong Michael Hurd. April, 2006

Li Gan Guan Gong Michael Hurd. April, 2006 Ne Inergeneraional Transfers from an Increase in Social Securiy Benefis Li Gan Guan Gong Michael Hurd April, 2006 ABSTRACT When he age of deah is uncerain, individuals will leave bequess even if hey have

More information

Pricing FX Target Redemption Forward under. Regime Switching Model

Pricing FX Target Redemption Forward under. Regime Switching Model In. J. Conemp. Mah. Sciences, Vol. 8, 2013, no. 20, 987-991 HIKARI Ld, www.m-hikari.com hp://dx.doi.org/10.12988/ijcms.2013.311123 Pricing FX Targe Redempion Forward under Regime Swiching Model Ho-Seok

More information

Estimating Earnings Trend Using Unobserved Components Framework

Estimating Earnings Trend Using Unobserved Components Framework Esimaing Earnings Trend Using Unobserved Componens Framework Arabinda Basisha and Alexander Kurov College of Business and Economics, Wes Virginia Universiy December 008 Absrac Regressions using valuaion

More information

Econ 546 Lecture 4. The Basic New Keynesian Model Michael Devereux January 2011

Econ 546 Lecture 4. The Basic New Keynesian Model Michael Devereux January 2011 Econ 546 Lecure 4 The Basic New Keynesian Model Michael Devereux January 20 Road map for his lecure We are evenually going o ge 3 equaions, fully describing he NK model The firs wo are jus he same as before:

More information

1. Interest Rate Gap. Duration

1. Interest Rate Gap. Duration . Ineres Rae Gap. Duraion Mauriy Gap Problem. Mauriy Gap A bank invess $00 million in 3-year, 0% fixed rae bonds (assume hese are all asses) In he same ime, i issuses $90 million in -year, 0% percen fixed

More information

J.P. Morgan Bespoke Commodity Index Standard Terms

J.P. Morgan Bespoke Commodity Index Standard Terms J.P. Morgan Bespoke Commodiy Index Sandard Terms February 2011 All Righs Reserved 1 1. An Inroducion o he J.P. Morgan Bespoke Commodiy Index Sandard Terms The J.P. Morgan Bespoke Commodiy Index Sardard

More information

Subdivided Research on the Inflation-hedging Ability of Residential Property: A Case of Hong Kong

Subdivided Research on the Inflation-hedging Ability of Residential Property: A Case of Hong Kong Subdivided Research on he -hedging Abiliy of Residenial Propery: A Case of Hong Kong Guohua Huang 1, Haili Tu 2, Boyu Liu 3,* 1 Economics and Managemen School of Wuhan Universiy,Economics and Managemen

More information

t=1 C t e δt, and the tc t v t i t=1 C t (1 + i) t = n tc t (1 + i) t C t (1 + i) t = C t vi

t=1 C t e δt, and the tc t v t i t=1 C t (1 + i) t = n tc t (1 + i) t C t (1 + i) t = C t vi Exam 4 is Th. April 24. You are allowed 13 shees of noes and a calculaor. ch. 7: 137) Unless old oherwise, duraion refers o Macaulay duraion. The duraion of a single cashflow is he ime remaining unil mauriy,

More information

Balance of Payments. Second quarter 2012

Balance of Payments. Second quarter 2012 Balance of Paymens Second quarer 2012 Balance of Paymens Second quarer 2012 Saisics Sweden 2012 Balance of Paymens. Second quarer 2012 Saisics Sweden 2012 Producer Saisics Sweden, Balance of Paymens and

More information

The Global Factor in Neutral Policy Rates

The Global Factor in Neutral Policy Rates The Global acor in Neural Policy Raes Some Implicaions for Exchange Raes Moneary Policy and Policy Coordinaion Richard Clarida Lowell Harriss Professor of Economics Columbia Universiy Global Sraegic Advisor

More information

CHAPTER 3 How to Calculate Present Values. Answers to Practice Questions

CHAPTER 3 How to Calculate Present Values. Answers to Practice Questions CHAPTER 3 How o Calculae Presen Values Answers o Pracice Quesions. a. PV $00/.0 0 $90.53 b. PV $00/.3 0 $9.46 c. PV $00/.5 5 $ 3.5 d. PV $00/. + $00/. + $00/. 3 $40.8. a. DF + r 0.905 r 0.050 0.50% b.

More information

Option Valuation of Oil & Gas E&P Projects by Futures Term Structure Approach. Hidetaka (Hugh) Nakaoka

Option Valuation of Oil & Gas E&P Projects by Futures Term Structure Approach. Hidetaka (Hugh) Nakaoka Opion Valuaion of Oil & Gas E&P Projecs by Fuures Term Srucure Approach March 9, 2007 Hideaka (Hugh) Nakaoka Former CIO & CCO of Iochu Oil Exploraion Co., Ld. Universiy of Tsukuba 1 Overview 1. Inroducion

More information

CRO Forum Best Practice Paper - Extrapolation of Market Data

CRO Forum Best Practice Paper - Extrapolation of Market Data CRO Forum Bes Pracice Paper - Exrapolaion of Marke Daa Augus 00 able of conens able of conens 3. Execuive summary 4. Inroducion 6 3. Principles of Exrapolaion 9 4. Exrapolaion of ineres rae curve 6 5.

More information

Bank of Japan Review. Performance of Core Indicators of Japan s Consumer Price Index. November Introduction 2015-E-7

Bank of Japan Review. Performance of Core Indicators of Japan s Consumer Price Index. November Introduction 2015-E-7 Bank of Japan Review 5-E-7 Performance of Core Indicaors of Japan s Consumer Price Index Moneary Affairs Deparmen Shigenori Shirasuka November 5 The Bank of Japan (BOJ), in conducing moneary policy, employs

More information

An event study analysis of U.S. hospitality stock prices' reaction to Fed policy announcements

An event study analysis of U.S. hospitality stock prices' reaction to Fed policy announcements Universiy of Massachuses - Amhers ScholarWorks@UMass Amhers Inernaional CHRIE Conference-Refereed Track 011 ICHRIE Conference Jul 7h, 3:15 PM - 4:15 PM An even sudy analysis of U.S. hospialiy sock prices'

More information

The Interaction of Guarantees, Surplus Distribution, and Asset Allocation in With Profit Life Insurance Policies

The Interaction of Guarantees, Surplus Distribution, and Asset Allocation in With Profit Life Insurance Policies The Ineracion of Guaranees, Surplus Disribuion, and Asse Allocaion in Wih Profi Life Insurance Policies Alexander Kling Universiy of Ulm, Germany phone: +49 731 5031183, fax: +49 731 5031239 alkli@mahemaik.uni-ulm.de

More information

Do Changes in Pension Incentives Affect Retirement? A Longitudinal Study of Subjective Retirement Expectations

Do Changes in Pension Incentives Affect Retirement? A Longitudinal Study of Subjective Retirement Expectations Do Changes in Pension Incenives Affec Reiremen? A Longiudinal Sudy of Subjecive Reiremen Expecaions February 2001 Sewin Chan Rober F. Wagner School of Public Service New York Universiy sewin.chan@nyu.edu

More information

IJRSS Volume 2, Issue 2 ISSN:

IJRSS Volume 2, Issue 2 ISSN: A LOGITIC BROWNIAN MOTION WITH A PRICE OF DIVIDEND YIELDING AET D. B. ODUOR ilas N. Onyango _ Absrac: In his paper, we have used he idea of Onyango (2003) he used o develop a logisic equaion used in naural

More information

Introduction. Enterprises and background. chapter

Introduction. Enterprises and background. chapter NACE: High-Growh Inroducion Enerprises and background 18 chaper High-Growh Enerprises 8 8.1 Definiion A variey of approaches can be considered as providing he basis for defining high-growh enerprises.

More information

Market Models. Practitioner Course: Interest Rate Models. John Dodson. March 29, 2009

Market Models. Practitioner Course: Interest Rate Models. John Dodson. March 29, 2009 s Praciioner Course: Ineres Rae Models March 29, 2009 In order o value European-syle opions, we need o evaluae risk-neural expecaions of he form V (, T ) = E [D(, T ) H(T )] where T is he exercise dae,

More information

A Decision Model for Investment Timing Using Real Options Approach

A Decision Model for Investment Timing Using Real Options Approach A Decision Model for Invesmen Timing Using Real Opions Approach Jae-Han Lee, Jae-Hyeon Ahn Graduae School of Managemen, KAIST 207-43, Cheongrangri-Dong, Dongdaemun-Ku, Seoul, Korea ABSTRACT Real opions

More information

1. FIXED ASSETS - DEFINITION AND CHARACTERISTICS

1. FIXED ASSETS - DEFINITION AND CHARACTERISTICS 1. FIXED ASSETS - DEFINITION AND CHARACTERISTICS Fixed asses represen a par of he business asses of he company and is long-erm propery, which canno be easily liquidaed (convered ino cash). Their characerisics

More information

Risk Management of a DB Underpin Pension Plan

Risk Management of a DB Underpin Pension Plan Risk Managemen of a DB Underpin Pension Plan Kai Chen upervisor: Mary Hardy Acknowledge he UW Insiue for Quaniaive Finance and Insurance CKER ARC Travel Gran for heir uppor Ouline Inroducion and Background

More information

Behavioral Effects of Social Security Policies on Benefit Claiming, Retirement and Saving

Behavioral Effects of Social Security Policies on Benefit Claiming, Retirement and Saving Behavioral Effecs of Social Securiy Policies on Benefi Claiming, Reiremen and Saving Alan L. Gusman Darmouh College and Thomas L. Seinmeier Texas Tech Universiy Presened a he 14 h Annual Join Conference

More information

2001 CSO Building ALB & Gender Blended Tables

2001 CSO Building ALB & Gender Blended Tables Appendix J-2 2001 CSO Building ALB & Gender Blended Tables 1. Naming Convenion. The following mehod is used o idenify he 84 specific ables wihin his memo. a. Templae. 2001 CSO (Sex) Smoking Type Basis.

More information

A Note on Missing Data Effects on the Hausman (1978) Simultaneity Test:

A Note on Missing Data Effects on the Hausman (1978) Simultaneity Test: A Noe on Missing Daa Effecs on he Hausman (978) Simulaneiy Tes: Some Mone Carlo Resuls. Dikaios Tserkezos and Konsaninos P. Tsagarakis Deparmen of Economics, Universiy of Cree, Universiy Campus, 7400,

More information

Ch. 10 Measuring FX Exposure. Is Exchange Rate Risk Relevant? MNCs Take on FX Risk

Ch. 10 Measuring FX Exposure. Is Exchange Rate Risk Relevant? MNCs Take on FX Risk Ch. 10 Measuring FX Exposure Topics Exchange Rae Risk: Relevan? Types of Exposure Transacion Exposure Economic Exposure Translaion Exposure Is Exchange Rae Risk Relevan?? Purchasing Power Pariy: Exchange

More information

Bond Prices and Interest Rates

Bond Prices and Interest Rates Winer erm 1999 Bond rice Handou age 1 of 4 Bond rices and Ineres Raes A bond is an IOU. ha is, a bond is a promise o pay, in he fuure, fixed amouns ha are saed on he bond. he ineres rae ha a bond acually

More information

Money-Back Guarantees in Individual Pension Accounts: Evidence from the German Pension Reform

Money-Back Guarantees in Individual Pension Accounts: Evidence from the German Pension Reform Money-Back Guaranees in Individual Pension Accouns: Evidence from he German Pension Reform Raimond Maurer and Chrisian Schlag PRC WP 22-11 Pension Research Council Working Paper Pension Research Council

More information

Fitness of Use Criteria for Price Index Deflators in National Income Accounting A Case Study: Mutual Stock Fund Management

Fitness of Use Criteria for Price Index Deflators in National Income Accounting A Case Study: Mutual Stock Fund Management Finess of Use Crieria for Price Index Deflaors in Naional Income Accouning A Case Sudy: Muual Sock Fund Managemen Michael Holdway U.S. Bureau of Labor Saisics Absrac: Mos saisical agencies in developed

More information

VOLATILITY CLUSTERING, NEW HEAVY-TAILED DISTRIBUTION AND THE STOCK MARKET RETURNS IN SOUTH KOREA

VOLATILITY CLUSTERING, NEW HEAVY-TAILED DISTRIBUTION AND THE STOCK MARKET RETURNS IN SOUTH KOREA 64 VOLATILITY CLUSTERING, NEW HEAVY-TAILED DISTRIBUTION AND THE STOCK MARKET RETURNS IN SOUTH KOREA Yoon Hong, PhD, Research Fellow Deparmen of Economics Hanyang Universiy, Souh Korea Ji-chul Lee, PhD,

More information