Realized Illiquidity

References

• Abdi F, Ranaldo A (2017) A simple estimation of bid-ask spreads from daily close, high, and low prices. Rev. Financial Stud. 30(12):4437–4480.Crossref, Google Scholar
• Aït-Sahalia Y, Jacod J (2014) High-frequency financial econometrics. High-Frequency Financial Econometrics (Princeton University Press, Princeton, NJ).Google Scholar
• Amihud Y (2002) Illiquidity and stock returns: Cross-section and time-series effects. J. Financial Markets 5(1):31–56.Crossref, Google Scholar
• Amihud Y, Noh J (2021) Illiquidity and stock returns II: Cross-section and time-series effects. Rev. Financial Stud. 34(4):2101–2123.Crossref, Google Scholar
• Andersen TG (1996) Return volatility and trading volume: An information flow interpretation of stochastic volatility. J. Finance 51(1):169–204.Crossref, Google Scholar
• Bandi FM, Renò R (2018) Nonparametric stochastic volatility. Econom. Theory 34(6):1207–1255.Crossref, Google Scholar
• Bandi FM, Pirino D, Renò R (2017) Excess idle time. Econometrica 85(6):1793–1846. Crossref, Google Scholar
• Bandi FM, Pirino D, Renò R (2024) Systematic staleness. J. Econometrics 238(1):1–38.Crossref, Google Scholar
• Bandi FM, Kolokolov A, Pirino D, Renò R (2020) Zeros. Management Sci. 66(8):3466–3479.Link, Google Scholar
• Barardehi YH, Bernhardt D, Davies RJ (2019) Trade-time measures of liquidity. Rev. Financial Stud. 32(1):126–179.Crossref, Google Scholar
• Barndorff-Nielsen OE, Shephard N (2003) Realized power variation and stochastic volatility models. Bernoulli 9(2):243–265.Crossref, Google Scholar
• Barndorff-Nielsen OE, Shephard N (2004) Power and bipower variation with stochastic volatility and jumps. J. Financial Econom. 2(1):1–37.Crossref, Google Scholar
• Barndorff-Nielsen OE, Hansen PR, Lunde A, Shephard N (2008) Designing realized kernels to measure the ex post variation of equity prices in the presence of noise. Econometrica 76(6):1481–1536.Crossref, Google Scholar
• Barndorff-Nielsen OE, Graversen SE, Jacod J, Podolskij M, Shephard N (2006) A central limit theorem for realised power and bipower variations of continuous semimartingales. Kabanov Y, Liptser R, Stoyanov J, eds. From Stochastic Calculus to Mathematical Finance: The Shiryaev Festschrift (Springer, Berlin, Heidelberg), 33–68.Crossref, Google Scholar
• Christensen K, Oomen RC, Renò R (2022) The drift burst hypothesis. J. Econom. 227(2):461–497.Crossref, Google Scholar
• Clark P (1973) A subordinated stochastic process model with finite variance for speculative prices. Econometrica 41(1):135–155.Crossref, Google Scholar
• Corsi F (2009) A simple approximate long-memory model of realized volatility. J. Financial Econom. 7(2):174–196.Crossref, Google Scholar
• Corsi F, Renò R (2012) Discrete-time volatility forecasting with persistent leverage effect and the link with continuous-time volatility modeling. J. Bus. Econom. Statist. 30(3):368–380.Crossref, Google Scholar
• Corwin SA, Schultz PH (2012) A simple way to estimate bid-ask spreads from daily high and low prices. J. Finance 67(2):719–760.Crossref, Google Scholar
• Easley D, O’Hara M (1987) Price, trade size, and information in securities markets. J. Financial Econom. 19(1):69–90.Crossref, Google Scholar
• Engle R (2002) New frontiers for ARCH models. J. Appl. Econom. 17(5):425–446.Crossref, Google Scholar
• Engle RF, Gallo GM (2006) A multiple indicators model for volatility using intra-daily data. J. Econom. 131(1–2):3–27.Crossref, Google Scholar
• Epps TW, Epps ML (1976) The stochastic dependence of security price changes and transaction volumes: Implications for the mixture-of-distributions hypothesis. Econometrica 44(2):305–321. Crossref, Google Scholar
• Fan J, Wang Y (2008) Spot volatility estimation for high-frequency data. Statist. Interface 1(2):279–288.Crossref, Google Scholar
• Figueroa-López JE, Li C (2020) Optimal kernel estimation of spot volatility of stochastic differential equations. Stochastic Processes Appl. 130(8):4693–4720.Crossref, Google Scholar
• Fong KYL, Holden CW, Tobek O (2018) Are volatility over volume liquidity proxies useful for global or US research? Kelley School of Business Research Paper No. 17-49.Google Scholar
• Foster DP, Nelson DB (1996) Continuous record asymptotics for rolling sample variance estimators. Econometrica 64(1):139–174.Crossref, Google Scholar
• Foucault T, Pagano M, Röell A (2013) Market Liquidity: Theory, Evidence, and Policy (Oxford University Press, Oxford, UK).Crossref, Google Scholar
• Glosten LR, Milgrom PR (1985) Bid, ask and transaction prices in a specialist market with heterogeneously informed traders. J. Financial Econom. 14(1):71–100.Crossref, Google Scholar
• Glosten LR, Jagannathan R, Runkle DE (1993) On the relation between the expected value and the volatility of the nominal excess return on stocks. J. Finance 48(5):1779–1801.Crossref, Google Scholar
• Grossman SJ, Miller MH (1988) Liquidity and market structure. J. Finance 43(3):617–633.Crossref, Google Scholar
• Hansen PR, Huang Z, Shek HH (2012) Realized GARCH: A joint model for returns and realized measures of volatility. J. Appl. Econom. 27(6):877–906.Crossref, Google Scholar
• Hasbrouck J (2009) Trading costs and returns for us equities: Estimating effective costs from daily data. J. Finance 64(3):1445–1477.Crossref, Google Scholar
• Hurvich CM, Ray BK (2003) The local Whittle estimator of long-memory stochastic volatility. J. Financial Econom. 1(3):445–470.Crossref, Google Scholar
• Hurvich CM, Moulines E, Soulier P (2005) Estimating long memory in volatility. Econometrica 73(4):1283–1328.Crossref, Google Scholar
• Jacod J, Protter P (2011) Discretization of Processes, Stochastic Modelling and Applied Probability (Springer Berlin Heidelberg).Google Scholar
• Jacod J, Rosenbaum M (2013) Quarticity and other functionals of volatility: Efficient estimation. Ann. Statist. 41(3):1462–1484.Crossref, Google Scholar
• Kanaya S, Kristensen D (2016) Estimation of stochastic volatility models by nonparametric filtering. Econom. Theory 32(4):861–916.Crossref, Google Scholar
• Karpoff JM (1987) The relation between price changes and trading volume: A survey. J. Financial Quant. Anal. 22(1):109–126.Crossref, Google Scholar
• Keynes JM (1936) The General Theory of Employment, Interest, and Money (Palgrave Macmillan, London, UK).Google Scholar
• Kristensen D (2010) Nonparametric filtering of the realized spot volatility: A kernel-based approach. Econom. Theory 26(1):60–93.Crossref, Google Scholar
• Kyle AS (1985) Continuous auctions and insider trading. Econometrica 53(6):1315–1335.Crossref, Google Scholar
• Liu LY, Patton AJ, Sheppard K (2015) Does anything beat 5-minute RV? A comparison of realized measures across multiple asset classes. J. Econom. 187(1):293–311.Crossref, Google Scholar
• Lou X, Shu T (2017) Price impact or trading volume: Why is the Amihud (2002) measure priced? Rev. Financial Stud. 30(12):4481–4520.Crossref, Google Scholar
• Madhavan A, Richardson M, Roomans M (1997) Why do security prices change? A transaction-level analysis of NYSE stocks. Rev. Financial Stud. 10(4):1035–1064.Crossref, Google Scholar
• Mykland PA, Zhang L (2008) Inference for volatility-type objects and implications for hedging. Statist. Interface 1(2):255–278.Crossref, Google Scholar
• Mykland PA, Zhang L (2009) Inference for continuous semimartingales observed at high frequency. Econometrica 77(5):1403–1445.Crossref, Google Scholar
• Newey WK, West KD (1987) A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica 55(3):703–708.Crossref, Google Scholar
• Podolskij M, Vetter M (2009) Bipower-type estimation in a noisy diffusion setting. Stochastic Processes Appl. 119(9):2803–2831.Crossref, Google Scholar
• Ranaldo A, Santucci de Magistris P (2022) Liquidity in the global currency market. J. Financial Econom. 146(3):859–883.Crossref, Google Scholar
• Rossi E, Santucci de Magistris P (2018) Indirect inference with time series observed with error. J. Appl. Econom. 33(6):874–897.Crossref, Google Scholar
• Silber WL (1975) Thinness in capital markets: The case of the Tel Aviv stock exchange. J. Financial Quant. Anal. 10(1):129–142.Crossref, Google Scholar
• Tauchen GE, Pitts M (1983) The price variability-volume relationship on speculative markets. Econometrica 51(2):485–505.Crossref, Google Scholar
• Wellner JA, Smythe RT (2002) Computing the covariance of two Brownian area integrals. Statistica Neerlandica 56(1):101–109.Crossref, Google Scholar
• Zhang L, Mykland PA, Aït-Sahalia Y (2005) A tale of two time scales: Determining integrated volatility with noisy high-frequency data. J. Amer. Statist. Assoc. 100(472):1394–1411.Crossref, Google Scholar
• Zu Y, Boswijk HP (2014) Estimating spot volatility with high-frequency financial data. J. Econom. 181(2):117–135.Crossref, Google Scholar