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The goal of this thesis is to understand if classic cars can be considered as an asset class on their own, as for art and wine. Do they have features differentiating them from other collectibles? In the first part of the thesis, we will look at the collectibles market and the common features. Next, we will talk about collector cars as an object and how they differ from other collectibles. The costs, the risks and the value drivers of classic cars. Then, in the second part, we will look at the eventual diversification potential of classic cars. We will compute different tests, using indices we constructed using observations on auctions, to find out if classic cars should be included in a portfolio of traditional assets. Finally, we will conclude that classic cars should constitute a class on their own, as their differ from other collectibles. But based on our sample, they do not have a diversification potential and professional investors should not include classic cars in a portfolio. Only passionate people should invest as they are willing to bear all the risks.
alternative investments --- collectibles --- classic cars investing --- portfolio optimization --- diversification --- collector cars --- Sciences économiques & de gestion > Finance
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Ce mémoire présente dans un premier temps le marché des voitures de collection. Il compare ensuite celles-ci à différents indices de marché afin d'analyser son profil de risque ainsi que ses rendements. Enfin, ce travail finit par l'élaboration des portefeuilles optimaux d'investissement dans un but de minimisation du risque ou de maximisation du ratio rendement-risque.
classic cars --- alternative investments --- collectibles --- diversification --- portfolio optimization --- Sciences économiques & de gestion > Finance
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As correlations between traditional asset classes increased and diversification effects disappeared during the 2007-2008 financial crisis, the search for untraditional and potentially uncorrelated asset classes gains importance in the scientific literature. Consequently, several alternative asset classes have been analyzed by academics and practitioners to determine their risk-return properties. This dissertation is intended to investigate the diversification potential of investment-grade wines. Therefore, this study attempts to determine the extent to which the inclusion of fine wines in a well-diversified portfolio can be considered relevant. First, this study suggests that the historical returns of investment-grade wines are highly serially correlated. Indeed, markets for infrequently traded assets tend to exhibit smoothed returns. As a result, the presence of high first-order autocorrelation can severely bias the estimation of the volatility. Therefore, this dissertation highlights the importance of eliminating autocorrelation from the return time series through the Okunev-White procedure. Second, this dissertation addresses the issue of non-Gaussian distributions. Indeed, markets for financial assets tend to exhibit returns that are not normally distributed. As a result, the ignorance of skewness and kurtosis may lead to an inaccurate estimation of risk-adjusted performance measures. Hence, this study emphasizes the necessity to take into account higher moments through the modified value-at-risk. Finally, the results of this study indicate that investment-grade wines have positive weights in the optimal portfolios constructed using mean-variance-liquidity-skewness-kurtosis analysis. In other words, the consideration of fine wines leads to upward and/or leftward shifts of the efficient frontiers. However, using the spanning test proposed by Gibbons, Ross and Shanken, the enhancements of the Sharpe ratios are not found to be statistically significant.
Wine --- Portfolio Optimization --- Illiquidity --- Higher Moments --- Modified Value-at-Risk --- Non-Gaussian Returns --- Diversification --- Spanning Test --- Sciences économiques & de gestion > Finance
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An asset and liability management framework for managing risks arising from sovereign foreign exchange obligations requires a joint analysis of (i) the external financial liabilities resulting from a country's sovereign debt and (ii) the foreign exchange assets of its central bank. Governments often issue sizable amounts of debt denominated in foreign currencies, subjecting their fiscal positions to foreign exchange volatilities. Prudent management of a sovereign's foreign exchange position under an asset and liability management framework enables governments to mitigate risks at the lowest possible cost, hence increasing resilience to external shocks. Based on the challenges associated with the implementation of an asset and liability management framework, this study recommends a practical approach that includes analysis of the foreign exchange positions of central bank reserves and central government debt portfolios and optimization of the net position. The proposed model is tested, using the foreign exchange reserve and external debt data of seven countries (Albania, Ghana, FYR Macedonia, South Africa, the Republic of Korea, Tunisia, and Uruguay). The paper employs quantitative methods to explore the impact of an overarching asset and liability management strategy and integrated approach on the efficient management of foreign exchange risk. It provides policy recommendations on ways to minimize the risk of foreign exchange mismatches and increase the return on foreign exchange reserves.
Asset --- Debt Markets --- Exchange Rate Risk --- Finance and Financial Sector Development --- International Reserves --- Liability --- Macro Hedging --- Management --- Portfolio Optimization --- Public Debt --- Public Sector Development --- Sovereign Balance Sheet --- Strategic Asset Allocation
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This Special Issue covers the topic of timely vital risk management - systemic risk - from many important perspectives. It includes novel and scientific approaches from the network with topological indicators on systemic risk, community analysis of the global financial system, welfare analysis of capital insurance and the impact of capital requirement, risk measures, and optimal portfolio and optimal reinsurance under risk constraint. Most articles study the financial sector and insurance companies after the financial crisis of 2008–2009 circa ten years prior. The COVID-19 global pandemic in 2020 has caused similar or even greater challenges for the entire economy. Therefore, this Special Issue will be useful for anyone interested in systemic risk management.
Coins, banknotes, medals, seals (numismatics) --- optimal reinsurance --- general risk measure --- risk sharing --- systemic risk --- capital insurance --- welfare --- equilibrium --- conditional value-at-risk --- mean-CVaR portfolio optimization --- risk minimization --- Neyman–Pearson problem --- interconnectedness --- financial conglomerate --- contagion --- capital requirement for premium risk --- collective risk model --- reinsurance strategies --- Solvency II --- community structure --- complex networks --- financial markets --- insurance sector --- deltaCoVaR --- minimum spanning trees—topological indicators --- tail dependence
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This Special Issue covers the topic of timely vital risk management - systemic risk - from many important perspectives. It includes novel and scientific approaches from the network with topological indicators on systemic risk, community analysis of the global financial system, welfare analysis of capital insurance and the impact of capital requirement, risk measures, and optimal portfolio and optimal reinsurance under risk constraint. Most articles study the financial sector and insurance companies after the financial crisis of 2008–2009 circa ten years prior. The COVID-19 global pandemic in 2020 has caused similar or even greater challenges for the entire economy. Therefore, this Special Issue will be useful for anyone interested in systemic risk management.
optimal reinsurance --- general risk measure --- risk sharing --- systemic risk --- capital insurance --- welfare --- equilibrium --- conditional value-at-risk --- mean-CVaR portfolio optimization --- risk minimization --- Neyman–Pearson problem --- interconnectedness --- financial conglomerate --- contagion --- capital requirement for premium risk --- collective risk model --- reinsurance strategies --- Solvency II --- community structure --- complex networks --- financial markets --- insurance sector --- deltaCoVaR --- minimum spanning trees—topological indicators --- tail dependence
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What do hedge funds really do? These lightly regulated funds continually innovate new investing and trading strategies to take advantage of temporary mispricing of assets (when their market price deviates from their intrinsic value). These techniques are shrouded in mystery, which permits hedge fund managers to charge exceptionally high fees. While the details of each fund's approach are carefully guarded trade secrets, this book draws the curtain back on the core building blocks of many hedge fund strategies.
Hedge funds. --- Portfolio management. --- absolute return --- active investment management --- arbitrage --- capital asset pricing model --- CAPM --- derivatives --- exchange traded funds --- ETF --- fat tails --- finance --- hedge funds --- hedging --- high-frequency trading --- HFT --- investing --- investment management --- long/short --- modern portfolio theory --- MPT --- optimization --- quant --- quantitative trading strategies --- portfolio construction --- portfolio management --- portfolio optimization --- trading --- trading strategies --- Wall Street
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This Special Issue covers the topic of timely vital risk management - systemic risk - from many important perspectives. It includes novel and scientific approaches from the network with topological indicators on systemic risk, community analysis of the global financial system, welfare analysis of capital insurance and the impact of capital requirement, risk measures, and optimal portfolio and optimal reinsurance under risk constraint. Most articles study the financial sector and insurance companies after the financial crisis of 2008–2009 circa ten years prior. The COVID-19 global pandemic in 2020 has caused similar or even greater challenges for the entire economy. Therefore, this Special Issue will be useful for anyone interested in systemic risk management.
Coins, banknotes, medals, seals (numismatics) --- optimal reinsurance --- general risk measure --- risk sharing --- systemic risk --- capital insurance --- welfare --- equilibrium --- conditional value-at-risk --- mean-CVaR portfolio optimization --- risk minimization --- Neyman–Pearson problem --- interconnectedness --- financial conglomerate --- contagion --- capital requirement for premium risk --- collective risk model --- reinsurance strategies --- Solvency II --- community structure --- complex networks --- financial markets --- insurance sector --- deltaCoVaR --- minimum spanning trees—topological indicators --- tail dependence
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Financial Risk Measurement is a challenging task, because both the types of risk and the techniques evolve very quickly. This book collects a number of novel contributions to the measurement of financial risk, which address either non-fully explored risks or risk takers, and does so in a wide variety of empirical contexts.
risk assessment --- mortgage portfolio --- insider trade --- contagion effect --- risk capital --- liquidity risk --- hedonic modeling --- rolling wavelet correlation --- inverse coefficient of variation --- exchange traded funds --- sovereign risk/debt --- securitized real estate and local stock markets --- portfolio optimization --- portfolio analysis --- risk premium --- performance measurement --- risk analysis --- contagion --- outperformance probability --- Sharpe ratio --- probability of default --- small and medium enterprises --- RAROC --- sovereign defaults --- risk attribution --- multiresolution analysis --- credit ratings --- debt maturity structure --- herding --- asset-backed securities --- modern portfolio theory --- housing segments --- analytic hierarchy process --- African countries --- Asian firms --- decentralization --- credit scoring --- dependence --- mutual funds --- spillover effect --- capital allocation --- copulas --- matched filter --- institutional holding --- crop insurance --- factor investing --- wavelet coherence and phase difference --- risk --- value-at-risk --- rearrangement algorithm
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The Efficient Market Hypothesis believes that it is impossible for an investor to outperform the market because all available information is already built into stock prices. However, some anomalies could persist in stock markets while some other anomalies could appear, disappear and re-appear again without any warning. A Special Issue on "Efficiency and Anomalies in Stock Markets" will be devoted to advancements in the theoretical development of market efficiency and anomaly in the Stock Market, as well as applications in Stock Market efficiency and anomalies.
stochastic dominance --- Omega ratio --- risk averters --- risk seekers --- utility maximization --- market efficiency --- anomaly --- emerging markets --- KSE Pakistan --- three-factor model --- size and value premiums --- future economic growth --- liquidity proxy --- emerging market --- transaction cost --- price impact --- efficient market --- economic policy uncertainty --- random walk --- news --- Asian market --- G7 market --- real exchange rate --- volatility --- financial development --- economic growth --- Put–Call Ratio --- volume --- open interest --- frequency-domain roiling causality --- convertible bond --- financial constraints --- stock performance --- Autoregressive Model --- non-Gaussian error --- realized volatility --- Threshold Autoregressive Model --- value premium --- technical analysis --- moving average --- China stock market --- stock market --- finance --- applications --- EMH --- anomalies --- Behavioral Finance --- Winner–Loser Effect --- Momentum Effect --- calendar anomalies --- BM effect --- the size effect --- Disposition Effect --- Equity Premium Puzzle --- herd effect --- ostrich effect --- bubbles --- trading rules --- overconfidence --- utility --- portfolio selection --- portfolio optimization --- risk measures --- performance measures --- indifference curves --- two-moment decision models --- dynamic models --- diversification --- behavioral models --- unit root --- cointegration --- causality --- nonlinearity --- covariance --- copulas --- robust estimation --- anchoring
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