Search results for "Capital asset"

showing 10 items of 34 documents

Optimal Dynamic Portfolio Risk Management

2016

Numerous econometric studies report that financial asset volatilities and correlations are time-varying and predictable. Over the past decade, this knowledge has stimulated increasing interest in various dynamic portfolio risk control techniques. The two basic types of risk control techniques are: risk control across assets and risk control over time. At present, the two types of risk control techniques are not implemented simultaneously. There has been surprisingly little theoretical study of optimal dynamic portfolio risk management. In this paper, the author fills this gap in the literature by formulating and solving the multi-period portfolio choice problem. In terms of dynamic portfoli…

010407 polymersEconomics and EconometricsApplication portfolio managementComputer scienceFinancial assetControl (management)Diversification (finance)01 natural sciencesSpectral risk measureAccounting0502 economics and businessEconomicsEconometricsCapital asset pricing modelChoice problemModern portfolio theoryRisk managementActuarial science050208 financebusiness.industry05 social sciencesGeneral Business Management and AccountingPortfolio risk0104 chemical sciencesReplicating portfolioRisk ControlPortfolioPortfolio optimizationbusinessFinanceThe Journal of Portfolio Management
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Modeling Conditional Skewness in Stock Returns

2007

Abstract In this paper, we propose a new GARCH-in-Mean (GARCH-M) model allowing for conditional skewness. The model is based on the so-called z distribution capable of modeling skewness and kurtosis of the size typically encountered in stock return series. The need to allow for skewness can also be readily tested. The model is consistent with the volatility feedback effect in that conditional skewness is dependent on conditional variance. Compared to previously presented GARCH models allowing for conditional skewness, the model is analytically tractable, parsimonious and facilitates straightforward interpretation.Our empirical results indicate the presence of conditional skewness in the mon…

050208 financeAutoregressive conditional heteroskedasticity05 social sciencesEconomics Econometrics and Finance (miscellaneous)Skewness0502 economics and businessStatisticsEconomicsEconometricsKurtosisCapital asset pricing model050207 economicsVolatility (finance)Excess returnConditional varianceStock (geology)The European Journal of Finance
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Identifying Portfolio-Based Systematic Risk Factors in Equity Markets

2015

Four new prominent asset pricing factors have recently been proposed. We test whether these factors fulfill necessary conditions for qualifying those as risk factors. We show that the investment and betting-against-beta factors fulfill these conditions. However, the profitability and quality factors do not fulfill these conditions pointing towards non-risk-based explanations.

Actuarial sciencemedia_common.quotation_subjectSystematic riskEquity (finance)PortfolioCapital asset pricing modelQuality (business)Profitability indexBusinessInvestment (macroeconomics)Test (assessment)media_commonSSRN Electronic Journal
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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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Cap Rate as the Interpretative Variable of the Urban Real Estate Capital Asset: A Comparison of Different Sub‐Market Definitions in Palermo, Italy

2017

Real estate capital is in constant competition with other capital assets due to its different and complementary economic functions such as direct use, productive investment, and speculative investment. These features and the resulting opportunities cannot be easily deduced from direct observation of the real estate markets, so some further insights need to be carried out in order to highlight the relationship between prices, rents and performances. This study aims at providing a multifaceted perspective of a specific urban real estate market to overcome the difficulties arising from opacities and informative asymmetries that hinder the decision of investors, by facilitating the comparison o…

Architecture2300 Environmental Science (all)0211 other engineering and technologiesCost approachReal estate02 engineering and technology010501 environmental sciences01 natural scienceslcsh:TH1-9745MicroeconomicsCluster analysisReal estate investment trustArchitectureEconomicscluster analysimass appraisalcap rate; mass appraisal; cluster analysis; real estate market; theory of the capital0105 earth and related environmental sciencesCivil and Structural Engineering021107 urban & regional planningBuilding and Constructiontheory of the capitalMarket liquidityCapitalization ratecap ratereal estate marketEconomyCap rate; Cluster analysis; Mass appraisal; Real estate market; Theory of the capital; Architecture2300 Environmental Science (all); Civil and Structural Engineering; Building and ConstructionMarket dataCapital assetSettore ICAR/22 - EstimoProfitability indexlcsh:Building construction
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The Market Price of Credit Risk and Economic States

2015

This paper proposes a market-wide credit risk factor for the US stock market and investigates its properties that are dependent on economic conditions. The market price of credit risk is found to be statistically significantly negative, supporting earlier studies. However, a sample-split analysis reveals that this negative pay-off is non-existent in a later subsample, indicating that the credit risk puzzle is based on temporary mispricing related to the earlier subsample. Further investigation shows that mispricing in the earlier period was mainly driven by positive pay-offs of low credit risk firms, while high credit risk firms did not generate significant returns in any of the sub-periods.

Credit ratingeducationEconomicsBusiness cycleMarket priceCapital asset pricing modelStock marketMonetary economicshumanitieshealth care economics and organizationsCredit riskSSRN Electronic Journal
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Herding in the cryptocurrency market: CSSD and CSAD approaches

2018

Abstract We analyse the existence of herding in the cryptocurrency market through the cross-sectional standard (absolute) deviation of returns. Our results show that extreme dispersion of returns is explained by rational asset pricing models although it is possible to observe herding during down markets, which highlights the inefficiency and risk of cryptocurrencies. We also observe that the smallest digital currencies are herding with the largest ones, thus traders base their decisions on the performance of the main cryptocurrencies. However, the herding phenomenon cannot be solely attributed to Bitcoin, since the rest of the market is not herding with the main cryptocurrency.

CryptocurrencyCryptocurrencyMarket efficiency050208 financeFinancial economics05 social sciencesMarket efficiencyHerdingDigital currency0502 economics and businessEconomicsCapital asset pricing modelStatistical dispersionHerding050207 economicsInefficiencyBitcoinFinanceFinance Research Letters
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Why Is It So Difficult to Uncover the Risk-Return Tradeoff in Stock Returns?

2006

The low power of the standard Wald test in a GARCH-in-Mean model with an unnecessary intercept is shown to explain the apparent absence of a risk-return tradeoff in stocks. The importance of this finding is illustrated with monthly U.S. data. (c) 2006 Elsevier B.V. All rights reserved.

Economics and Econometrics050208 financeFinancial economicsfungi05 social sciencesasset pricingWald testasymptotic powerAsymptotic powerGARCH-in-Mean0502 economics and businessEconomicsCapital asset pricing model050207 economicsFinanceStock (geology)Risk return
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Risk assessment and profit sharing in business networks

2011

Abstract Nowadays network is the preferred governance form to conduct economic transactions. Network solution allows to reach flexibility maintaining cost and quality level. Since network concept refers to a great variety of organizational hybrids it is possible to choose the one that fits better market requirements. The new trends in inter-organization relationships push towards network solutions: companies are interested in relationships with partners and customers to overcome resource dependence, to enter too risky market or simply differentiate their business portfolio. The proposed research focuses on the network concept aiming at highlighting threats and opportunities to investigate t…

Economics and EconometricsResource dependence theoryActuarial scienceManagement Science and Operations ResearchSettore ING-IND/35 - Ingegneria Economico-GestionaleBusiness risksGeneral Business Management and AccountingNet present valueShapley valueIndustrial and Manufacturing EngineeringProfit (economics)Profit sharingNetwork organization forms Network risk Profit sharing Shapley value CAPMEconomicsCapital asset pricing modelPortfolioIndustrial organization
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Primary commodity prices: co-movements, common factors and fundamentals

2011

The behavior of commodities is critical for developing and developed countries alike. This paper contributes to the empirical evidence on the co-movement and determinants of commodity prices. Using nonstationary panel methods, the authors document a statistically significant degree of co-movement due to a common factor. Within a Factor Augmented VAR approach, real interest rate and uncertainty, as postulated by a simple asset pricing model, are both found to be negatively related to this common factor. This evidence is robust to the inclusion of demand and supply shocks, which both positively impact on co-movement of commodity prices.

Economics and EconometricsSpot contractSupply shockFinancial economicsmedia_common.quotation_subjectCommodity prices Panel estimation Factor modelsjel:E30DevelopmentRelative priceCommodity Prices Panel Estimation Factor Modelsjel:F00Interest rateCommodity price indexEconomicsEconometricsCapital asset pricing modelEmerging MarketsMarkets and Market AccessCommoditiesCurrencies and Exchange RatesE-BusinessReal interest rateFutures contractmedia_common
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