A simple approximation of intraday spreads using daily data
By Kee H. Chung, Hao Zhang. 2014
298 citations recorded by the source corpus.
Subfields: Accounting, Finance
View Paper: https://www.semanticscholar.org/paper/8f872d08f44bd0deceda1dd3a29e4079269ea658
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Accounting
In Finance
Citations in the corpus
- Dissecting Characteristics Nonparametrically (2020, unknown): “In his presidential address, Cochrane (2011) argues the cross section of the expected return “is once again descending into chaos”. Harvey et al. (2016) identify more than 300 published factors that have predictive power for the cross section of expected returns.(1) Many economic models, such as the”
- What Are the Best Liquidity Proxies for Global Research (2017, background): “Chung and Zhang (2014) develop the Closing Percent Quoted Spread percentcost proxy and find that it generally, but not always,7 performs better in US data than any other proxy that they test.”
- Retail Investor Attention and Stock Liquidity (2015, unknown): “26%), by following Chung and Zhang (2009). We then transform the daily data into monthly data to perform the analysis.”