Search results for "Asset allocation"

showing 10 items of 24 documents

Integrated simulation and optimization models for tracking international fixed income indices

2001

Portfolio managers in the international fixed income markets must address jointly the interest rate risk in each market and the exchange rate volatility across markets. This paper develops integrated simulation and optimization models that address these issues in a common framework. Monte Carlo simulation procedures generate jointly scenarios of interest and exchange rates and, thereby, scenarios of holding period returns of the available securities. The portfolio manager’s risk tolerance is incorporated either through a utility function or a (modified) mean absolute deviation function. The optimization models prescribe asset allocation weights among the different markets and also resolve b…

Actuarial scienceGeneral MathematicsFinancial marketAsset allocationStocastich optimization portfolio modelling montecarlo simulationInterest rate riskFixed incomeEconometricsBond marketPortfolioProject portfolio managementVolatility (finance)SoftwareMathematics
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The value of integrative risk management for insurance products with guarantees

2001

Insurance liabilities are converging with capital markets products (e.g. derivatives and securitizations), thereby increasing the demand for integrated asset and liability management strategies. This article compares the value-added by an integrative approach-based on scenario optimization modelling-relative to traditional risk management methods. The authors present some examples of products offered by the insurance industry in Italy, and apply the results of the analysis to the design of competitive insurance policies. © Emerald Backfiles 2007.

Actuarial sciencebusiness.industryDownside riskAsset allocationAsset and liability managementInsurance with guarantee portfolio management stochastic programmingKey person insuranceInsurance policyEconomicsRisk poolProject portfolio managementbusinessFinanceRisk management
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Scenario optimization asset and liability modelling for individual investors

2006

We develop a scenario optimization model for asset and liability management of individual investors. The individual has a given level of initial wealth and a target goal to be reached within some time horizon. The individual must determine an asset allocation strategy so that the portfolio growth rate will be sufficient to reach the target. A scenario optimization model is formulated which maximizes the upside potential of the portfolio, with limits on the downside risk. Both upside and downside are measured vis- `a-vis the goal. The stochastic behavior of asset returns is captured through bootstrap simulation, and the simulation is embedded in the model to determine the optimal portfolio. …

Application portfolio managementComputer scienceLiabilityDownside riskGeneral Decision SciencesAsset allocationAsset and liability managementTime horizonManagement Science and Operations ResearchAsset returnBlack–Litterman modelMicroeconomicsReplicating portfolioPortfolioCapital asset pricing modelPost-modern portfolio theoryPortfolio optimizationPersonal asset allocation stochastic programmingBeta (finance)Upside potential ratio
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Análisis de la sostenibilidad del sector exterior en la OCDE con técnicas de multicointegración

2022

Este artículo analiza la sostenibilidad externa de un grupo de 23 países de la OCDE durante el periodo 1970-2020. La estrategia empírica adoptada muestra la importancia del desequilibrio acumulado como desencadenante del ajuste externo, en línea con la propuesta de Gourinchas y Rey (2007). Para ello, contrastamos la sostenibilidad externa a través de la relación acumulado-flujo entre las variables que representan las relaciones externas de una economía abierta utilizando varios tipos de contrastes de cointegración y multicointegración. Los resultados obtenidos apuntan hacia la sostenibilidad en sentido débil en el análisis de los flujos, mientras que desde el punto de vista del enfoque acum…

Diagrames de fluxAsset allocationControl de canvisGeneral MedicineEconomiaOECD countriesFlow chartsAssignació d'actiusPaïsos de l'Organització de Cooperació i Desenvolupament EconòmicIntegració econòmicaExchange controlExternal debtDeute exteriorEconomic integrationCuadernos Económicos de ICE
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U.S. stock prices and macroeconomic fundamentals: Fresh evidence using the quantile ARDL approach

2020

This paper explores the long‐run relationship and the associated short‐run dynamics between the U.S. stock market and three major macroeconomic fundamentals, namely the U.S. industrial production index, the U.S. 10‐year Treasury bond yield and the West Texas Intermediate oil price, for the time period covering 1985–2015. The quantile autoregressive distributed lag (QARDL) model presented by Cho et al. (2015) Journal of Econometrics, 188, 281–300, which combines the autoregressive distributed lag model of Pesaran and Shin (1998), Cambridge University Press, and Pesaran et al. (2001) Journal of Applied Econometrics, 16, 289–326, and the quantile regression methodology of Koenker and Bassett (…

Distributed lagEconomics and EconometricsCointegrationAccountingIndustrial production indexEconometricsEconomicsAsset allocationStock marketFinanceStock (geology)Quantile regressionQuantileInternational Journal of Finance & Economics
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The Economic Value of Volatility Transmission Between the Stock and Bond Markets

2008

This study has two main objectives. Firstly, volatility transmission between stocks and bonds in European markets is studied using the two most important financial assets in these fields: the DJ Euro Stoxx 50 index futures contract and the Euro Bund futures contract. Secondly, a trading rule for the major European futures contracts is designed. This rule can be applied to different markets and assets to analyze the economic significance of volatility spillovers observed between them. The results indicate that volatility spillovers take place in both directions and that the stock-bond trading rule offers very profitable returns after transaction costs. These results have important implicatio…

Economics and EconometricsIndex (economics)Financial economicsAutoregressive conditional heteroskedasticityBondAsset allocationMonetary economicsImplied volatilityGeneral Business Management and AccountingEfficient-market hypothesisAccountingVolatility swapEconometricsEconomicsVolatility smileBond marketProject portfolio managementVolatility (finance)Futures contractFinanceStock (geology)SSRN Electronic Journal
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Dynamic Asset Allocation Strategies Basedon Unexpected Volatility

2014

The author documents that at the aggregate stock market level, unexpected volatility is negatively related to expected future returns, and positively related to future volatility. The author demonstrates how the predictive ability of unexpected volatility can be utilized in dynamic asset allocation strategies that deliver a substantial improvement in terms of risk-adjusted performance as compared to traditional buy-and-hold strategies. In addition, the author shows that active strategies based on unexpected volatility outperform the popular active strategy with a volatility target mechanism, and have some edge over the popular market timing strategy with a 10-month simple moving average rul…

Economics and EconometricsMoving averageAggregate (data warehouse)EconometricsEconomicsStock marketDynamic asset allocationEnhanced Data Rates for GSM EvolutionVolatility (finance)Market timingFinanceThe Journal of Alternative Investments
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Empirical Analyses of Networks in Finance

2018

Abstract The recent global financial crisis has triggered a huge interest in the use of network concepts and network tools to better understand how instabilities can propagate through the financial system. The literature is today quite vast, covering both theoretical and empirical aspects. This review concentrates on empirical work, and associated methodologies, concerned with the evaluation of the fragility and resilience of financial and credit markets. The first part of the review examines the literature on systemic risk that arise from banks mutual exposures. These exposures stem primarily from interbank lending and derivative positions, but also, indirectly, from common holdings of oth…

Finance050208 financebusiness.industryComplex networks Finance05 social sciencesAsset allocationInterbank networkStress test0502 economics and businessFinancial crisisSystemic riskInterbank lending market050207 economicsNull hypothesisbusinessStatistical hypothesis testing
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Interdependence between Green Financial Instruments and Major Conventional Assets: A Wavelet-Based Network Analysis

2021

This paper examines the interdependence between green financial instruments, represented by green bonds and green stocks, and a set of major conventional assets, such as Treasury, investment-grade and high-yield corporate bonds, general stocks, crude oil, and gold. To that end, a novel wavelet-based network approach that allows for assessing the degree of interconnection between green financial products and traditional asset classes across different investment horizons is applied. The empirical results show that green bonds are tightly linked to Treasury and investment-grade corporate bonds, while green stocks are strongly tied to general stocks, regardless of the specific time period and i…

Financial economics020209 energyGeneral Mathematicswavelet coherenceAsset allocationconventional bonds02 engineering and technology:CIENCIAS ECONÓMICAS [UNESCO]Energy policygeneral stocks0502 economics and business0202 electrical engineering electronic engineering information engineeringComputer Science (miscellaneous)QA1-939green stocksEngineering (miscellaneous)network analysisFinancial services050208 financebusiness.industryBondFinancial instrument05 social sciencesUNESCO::CIENCIAS ECONÓMICASInvestment (macroeconomics)green bondsTreasurySustainabilitybusinessMathematicsMathematics
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Dynamic Asset Allocation Strategies Based on Unexpected Volatility

2013

In this paper we document that at the aggregate stock market level the unexpected volatility is negatively related to expected future returns and positively related to future volatility. We demonstrate how the predictive ability of unexpected volatility can be utilized in dynamic asset allocation strategies that deliver a substantial improvement in risk-adjusted performance as compared to traditional buy-and-hold strategies. In addition, we demonstrate that active strategies based on unexpected volatility outperform the popular active strategy with volatility target mechanism and have the edge over the widely reputed market timing strategy with 10-month simple moving average rule.

Financial economicsVolatility swapVolatility smileEconometricsEconomicsDynamic asset allocationStock marketVolatility (finance)Implied volatilityMarket timingVolatility risk premiumSSRN Electronic Journal
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