Automatic balancing mechanisms for notional defined contribution accounts in the presence of uncertainty. Issue 2 (7th February 2018)
- Record Type:
- Journal Article
- Title:
- Automatic balancing mechanisms for notional defined contribution accounts in the presence of uncertainty. Issue 2 (7th February 2018)
- Main Title:
- Automatic balancing mechanisms for notional defined contribution accounts in the presence of uncertainty
- Authors:
- Alonso-García, Jennifer
Boado-Penas, María del Carmen
Devolder, Pierre - Abstract:
- Abstract : The notional defined contribution model combines pay-as-you-go financing and a defined contribution pension formula. This paper aims to demonstrate the extent to which liquidity and solvency indicators are affected by fluctuations in economic and demographic conditions and to explore the introduction of an automatic balancing mechanism (ABM) into the pension scheme. We demonstrate that the introduction of an ABM reduces the volatility of the buffer fund and that, in most cases, the automatic mechanism that re-establishes solvency produces the highest value of the risk-adjusted notional factor.
- Is Part Of:
- Scandinavian actuarial journal. Volume 2018:Issue 2(2018)
- Journal:
- Scandinavian actuarial journal
- Issue:
- Volume 2018:Issue 2(2018)
- Issue Display:
- Volume 2018, Issue 2 (2018)
- Year:
- 2018
- Volume:
- 2018
- Issue:
- 2
- Issue Sort Value:
- 2018-2018-0002-0000
- Page Start:
- 85
- Page End:
- 108
- Publication Date:
- 2018-02-07
- Subjects:
- Actuarial analysis -- public pensions -- retirement -- solvency -- stochastic processes -- risk
Insurance, Life -- Mathematics -- Periodicals
Insurance -- Mathematics -- Periodicals
368.01 - Journal URLs:
- http://www.tandfonline.com/ ↗
- DOI:
- 10.1080/03461238.2017.1304984 ↗
- Languages:
- English
- ISSNs:
- 0346-1238
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8087.468000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 5757.xml