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We introduce a heuristic bias-adjustment for the transaction price-based realized range estimator of daily volatility in the presence of bid-ask bounce and non-trading. The adjustment is an extension of the estimator proposed in Christensen et al. (2009). We relax the assumption that all...
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Media-aware stock performance has been a hot issue in asset pricing. Numerous studies have focused on the impact of news content. However, few studies have paid attention to the form of news releases. In this paper, using data from 126,784 news of Chinese listed companies from 2013-2018, we...
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We extend Kyle's (1985) model of insider trading to the case where noise trading volatility follows a general stochastic process. In equilibrium, price impact and price volatility are stochastic, even though the fundamental value is constant. `Excess stochastic volatility' may arise because...
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Asset prices observed in financial markets combine equilibrium prices and market microstructure noise. In this paper, we study how to tell apart large shifts in equilibrium prices from noise using high frequency data. We propose a new nonparametric test which allows us to asymptotically remove...
Persistent link: https://www.econbiz.de/10013115585
In various agent-based models the stylized facts of financial markets (unit-roots, fat tails and volatility clustering) have been shown to emerge from the interactions of agents. However, the complexity of these models often limits their analytical accessibility. In this paper we show that even...
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Chapter 1: Beyond the Surface: In-depth Perspectives on Liquidity and Risk Frontiers -- Chapter 2: Unlocking the Microstructure of Liquidity Risk: Understanding Interactions with other Financial Risks and Best Practices in Oversight and Governance -- Chapter 3: Crises to Opportunities:...
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This note illustrates a simple but important insight for financial investment. In a heterogeneous agent-based evolutionary finance market model with long-lived assets, markets are stable if clients of fundamental ('value') investment funds are more patient than clients of other funds
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