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Principal Component Analysis (PCA) is a common procedure for the analysis of financial market data, such as implied volatility smiles or interest rate curves. Recently, Pelsser and Lord [11] raised the question whether PCA results may not be 'facts but artefacts'. We extend this line of research...
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volatility estimation. In particular, we use market microstructure theory to derive the cross-correlation function between latent … returns and market microstructure noise, which feature prominently in the recent volatility literature. The cross-correlation … geometrically. If market makers are sufficiently risk averse, however, the cross-correlation pattern is inverted. Our results are …
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This paper investigates the behavior of asset prices in an endowment economy in which a representative agent with power utility consumes the dividends of multiple assets. The assets are Lucas trees; a collection of Lucas trees is a Lucas orchard. The model generates return correlations that vary...
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In this paper, we model financial markets with semi-Markov volatilities and price covarinace and correlation swaps for … covariance and correlation swaps in a market with two risky assets …
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, a state-dependent diffusion correlation combined with heterogeneity in jump intensities and volatilities can, e …
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by bearish trend in Indonesia's equity market. Though the explanation of this correlation is known mostly due to foreign … capital flow in the equity market (hot money), it appears that correlation risk between currency rates, with mostly impacted … study will show how the cross-asset correlation between Indonesia's Rupiah strength and capital market behaves along time …
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