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Abstract Financial time series analysis is concerned with theory and practice of asset valuation over time. This article introduces key features and properties of financial time series and discusses econometric and statistical methods available for analyzing such series. It also discusses recent developments in financial time series analysis in the advent of high‐frequency transaction data and in estimation of stochastic diffusion equations for derivative pricing. Finally, the article provides methods for analyzing multiple asset returns.
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Stored only when both papers are in the corpus — 29 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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