A new index for bond management in an uncertain environment

Within the framework of Assets Liability Management, we understand that immunization is the main method to assure a certain yield in a future date departing from an initial portfolio. Although the objective of passive strategies is to design a portfolio that will achieve the performance of a predetermined benchmark, active bond management strategies rely on expectations of interest rate movements or changes in yield–spread relationships. However, the variation of the duration increases the risk of a portfolio, that why the decision maker will have to choose the combination of expected return and risk which provides the higher utility. Finally, the construction of a fuzzy return risk map will allow the decision maker to know the over risk and the over return as regards immunization strategy for each duration and for each risk aversion of the decision maker. The construction of a risk return map presents the results in an appropriate way. It will help the decision maker to choose the best duration for the decision maker interest rate forecast. Finally, this methodology is applied to the Spanish debt so that the decision maker can select the duration that brings him a greater preferenc

The Use of Catastrophe Bonds as a Means of Economic Development in Emerging Economies

Catastrophe bonds offer a way for entities located in natural disaster prone regions to safely and efficiently transfer the risk of insuring property to the financial markets and subsequently, create a financially attractive environment for insurers and investors. The opportunity for investors to utilize modeled loss analytical platforms such as those created by AIR, Risk Management Solutions, and EQECAT, could be used to bridge the growing gap in emerging economies between economic losses created by natural disasters and insured losses. Bridging this insurance gap in emerging economies could have positive global implications for the insurance industry, global trade, foreign direct investment, and the average humanitarian aid spent on natural disaster recovery and resistance. Apart from the additional profits that could be generated from increased underwriting in emerging economies, introducing catastrophe and property insurance to emerging economies could create a road map for other emerging economies who are struggling to balance economic development with disaster financing. Experience from sovereigns which have experimented with this method of risk transfer, such as Haiti and Mexico offer a basis for understanding the advantages and difficulties associated with developing a country specific modeled loss analytical platform for measuring natural hazard risks

Money-back guarantees in individual pension accounts : evidence from the German pension reform

The German Retirement Saving Act instituted a new funded system of supplementary pensions coupled with a general reduction in the level of state pay-as-you-go old-age pensions. In order to qualify for tax relief, the providers of supplementary savings products must offer a guarantee of the nominal value at retirement of contributions paid into these saving accounts. This paper explores how this "money-back" guarantee works and evaluates alternative designs for guarantee structures, including a life cycle model (dynamic asset allocation), a plan with a pre-specified blend of equity and bond investments (static asset allocation), and some type of portfolio insurance. We use a simulation methodology to compare hedging effectiveness and hedging costs associated with the provision of the money-back guarantee. In addition, the guarantee has important implications for regulators who must find an appropriate solvency system for such saving schemes. This version June 17, 2002 . Klassifikation: G11, G23, G2

A mixed integer linear programming model for optimal sovereign debt issuance

Copyright @ 2011, Elsevier. NOTICE: this is the author’s version of a work that was accepted for publication in the European Journal of Operational Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version is available at the link below.Governments borrow funds to finance the excess of cash payments or interest payments over receipts, usually by issuing fixed income debt and index-linked debt. The goal of this work is to propose a stochastic optimization-based approach to determine the composition of the portfolio issued over a series of government auctions for the fixed income debt, to minimize the cost of servicing debt while controlling risk and maintaining market liquidity. We show that this debt issuance problem can be modeled as a mixed integer linear programming problem with a receding horizon. The stochastic model for the interest rates is calibrated using a Kalman filter and the future interest rates are represented using a recombining trinomial lattice for the purpose of scenario-based optimization. The use of a latent factor interest rate model and a recombining lattice provides us with a realistic, yet very tractable scenario generator and allows us to do a multi-stage stochastic optimization involving integer variables on an ordinary desktop in a matter of seconds. This, in turn, facilitates frequent re-calibration of the interest rate model and re-optimization of the issuance throughout the budgetary year allows us to respond to the changes in the interest rate environment. We successfully demonstrate the utility of our approach by out-of-sample back-testing on the UK debt issuance data

Institutional investors in Germany : insurance companies and investment funds

This chapter focuses on institutional investors in the German financial markets. Institutional investors are specialized financial intermediaries who collect and manage funds on behalf of small investors toward specific objectives in terms of risk, return and maturity. The major types of institutional investors in Germany are insurance companies and investment funds. We will examine the nature of their businesses, their size and role in the financial sector, the size and the composition of the assets under their management, aspects of financ ial regulation, and features of their asset-liability-management

The Appraisal of Data Centres: Deconstructing the Cash Flow

This paper analyses the appraisal of a specialized form of real estate - data centres - that has a unique blend of locational, physical and technological characteristics that differentiate it from conventional real estate assets. Market immaturity, limited trading and a lack of pricing signals enhance levels of appraisal uncertainty and disagreement relative to conventional real estate assets. Given the problems of applying standard discounted cash flow, an approach to appraisal is proposed that uses pricing signals from traded cash flows that are similar to the cash flows generated from data centres. Based upon ‘the law of one price’, it is assumed that two assets that are expected to generate identical cash flows in the future must have the same value now. It is suggested that the expected cash flow of assets should be analysed over the life cycle of the building. Corporate bond yields are used to provide a proxy for the appropriate discount rates for lease income. Since liabilities are quite diverse, a number of proxies are suggested as discount and capitalisation rates including indexed-linked, fixed interest and zero-coupon bonds.

New Zealand Building Project Cost and Its Influential Factors: A Structural Equation Modelling Approach

Construction industry significantly contributes to New Zealand's economic development. However, the delivery of construction projects is usually plagued by cost overruns, which turn potentially successful projects into money-losing ventures, resulting in various other unexpected negative impacts. The objectives of the study were to identify, classify, and assess the impacts of the factors affecting project cost in New Zealand. The proposed research model was examined with structural equation modelling. Recognising the lack of a systematic approach for assessing the influencing factors associated with project cost, this study identified 30 influencing factors from various sources and quantified their relative impacts. The research data were gathered through a questionnaire survey circulated across New Zealand construction industry. A total of 283 responses were received, with a 37% response rate. A model was developed for testing the relationship between project cost and the influential factors. The proposed research model was examined with structural equation modelling (SEM). According to the results of the analysis, market and industry conditions factor has the most significant effect on project cost, while regulatory regime is the second-most significant influencing factor, followed by key stakeholders' perspectives. The findings can improve project cost performance through the identification and evaluation of the cost-influencing factors. The results of such analysis enable industry professionals to better understand cost-related risks in the complex environment

From complacency to crisis: financial risk taking in the early 21st century

During the first half of this decade, the belief that new financial products would adequately shield investors from risk encouraged financial flows to less creditworthy households and businesses. By late 2006, U.S. financial markets were flashing warning signals of a potential financial crisis. ; In a sign that investors had become too complacent, risk premiums had all but vanished in junk bond and emerging-market interest rate spreads. Then, conditions changed abruptly. In the important and usually stable market for asset-backed commercial paper, premiums on three-month paper over Treasury bills jumped from 0.17 percentage point in February 2007 to 2.15 points in August. Meanwhile, rising subprime mortgage defaults led investors to abandon their sanguine beliefs about the risk of many mortgage and nonmortgage products. ; The backdrop for these events was a period of macroeconomic stability that fed complacency about risk. This relatively benign economic environment, when combined with the new, structured financial products, increased financial flows to nonprime mortgage and business borrowers. The result was an overeager acceptance of risk taking that began correcting itself only after mounting subprime mortgage defaults reverberated through the broader financial markets.Risk ; Financial markets

Statistical analysis and stochastic interest rate modelling for valuing the future with implications in climate change mitigation

High future discounting rates favor inaction on present expending while lower rates advise for a more immediate political action. A possible approach to this key issue in global economy is to take historical time series for nominal interest rates and inflation, and to construct then real interest rates and finally obtaining the resulting discount rate according to a specific stochastic model. Extended periods of negative real interest rates, in which inflation dominates over nominal rates, are commonly observed, occurring in many epochs and in all countries. This feature leads us to choose a well-known model in statistical physics, the Ornstein-Uhlenbeck model, as a basic dynamical tool in which real interest rates randomly fluctuate and can become negative, even if they tend to revert to a positive mean value. By covering 14 countries over hundreds of years we suggest different scenarios and include an error analysis in order to consider the impact of statistical uncertainty in our results. We find that only 4 of the countries have positive long-run discount rates while the other ten countries have negative rates. Even if one rejects the countries where hyperinflation has occurred, our results support the need to consider low discounting rates. The results provided by these fourteen countries significantly increase the priority of confronting global actions such as climate change mitigation. We finally extend the analysis by first allowing for fluctuations of the mean level in the Ornstein-Uhlenbeck model and secondly by considering modified versions of the Feller and lognormal models. In both cases, results remain basically unchanged thus demonstrating the robustness of the results presented.Comment: 29 pages, 5 figures, 5 tables. arXiv admin note: text overlap with arXiv:1311.406