Information overflow between monetary policy transparency and inflation expectations using multivariate stochastic volatility models

References

• He Q, Xia P, Hu C, et al. Public information, actual intervention and inflation expectations. Trans Business Econ. 2022; 21(3C (57C)):42– 59.
   Web of Science ®Google Scholar
• Zhu X, Xia P, He Q, et al. Ensemble classifier design based on perturbation binary salp swarm algorithm for classification. CMES Comput Model Eng Sci. 2023; 135(1):653– 671. doi:10.32604/cmes.2022.022985
   Web of Science ®Google Scholar
• Zhang C. Globalization and inflation dynamics in China. Econ Res J. 2012; (6):33– 45.
   Google Scholar
• Fan C, Gao J. Adaptive learning and China' s inflation disequilibrium. Econ Res J. 2016; (9):17– 28.
   Google Scholar
• Zhang L, Zhang X. Cyclical fluctuations and nonlinear dynamics of inflation rate. Econ Res J. 2011; (5):17– 31.
   Google Scholar
• Wang L, Wang X. Central bank expectations management, inflation volatility and bank risk-taking. Econ Res J. 2015; (10):34– 48.
   Google Scholar
• Durham GB. Monte Carlo methods for estimating, smoothing, and filtering one-and two-factor stochastic volatility models. J Econom. 2006; 133(1):273– 305. doi:10.1016/j.jeconom.2005.03.016
   Web of Science ®Google Scholar
• Asai M, McAleer M, Yu J. Multivariate stochastic volatility: a review. Econ Rev. 2006; 25(2– 3):145– 175. doi:10.1080/07474930600713564
   Google Scholar
• Liesenfeld R, Richard JF. Univariate and multivariate stochastic volatility models: estimation and diagnostics. J Emp Fin. 2003; 10(4):505– 531. doi:10.1016/S0927-5398(02)00072-5
   Google Scholar
• Yu J, Meyer R. Multivariate stochastic volatility models: Bayesian estimation and model comparison. Econ Rev. 2006; 25(2– 3):361– 384. doi:10.1080/07474930600713465
   Google Scholar
• He Q, Zhang X, Xia P, et al. A comparison research on dynamic characteristics of Chinese and American energy prices. J Global Inf Manag (JGIM). 2023; 31(1):1– 16. doi:10.4018/JGIM.319042
   Web of Science ®Google Scholar
• Chortareas G, Stasavage D, Sterne G. Monetary policy transparency, inflation and the sacrifice ratio. Int J Fin Econ. 2002; 7(2):141– 155. doi:10.1002/ijfe.183
   Web of Science ®Google Scholar
• Eijffinger SCW, Geraats PM. How transparent are central banks? Eur J Polit Econ. 2006; 22(1):1– 21. doi:10.1016/j.ejpoleco.2005.09.013
   Google Scholar
• Van der Cruijsen CAB, Eijffinger SCW, Hoogduin LH. Optimal central bank transparency. J Int Money Finance. 2010; 29(8):1482– 1507. doi:10.1016/j.jimonfin.2010.06.003
   Web of Science ®Google Scholar
• Zhang H, Zhang D, Yao Y, et al. Monetary policy transparency and disinflation: an empirical evidence from China. Econ Res J. 2009;7(7):55– 64.
   Google Scholar
• Poole W, Rasche RH, Thornton DL. Market anticipations of monetary policy action. Rev-Fed Res Bank Saint Louis. 2002; 84(4):65– 94.
   Google Scholar
• Kia A. Developing a market-based monetary policy transparency index: evidence from the United States. Econ Iss. 2011; 16(2):53– 79.
   Google Scholar
• Jia D. Index of monetary policy transparency: academic methods and empirical test. J Fin Econ. 2006; 32(11):66– 75.
   Google Scholar
• Andersen PS, Wascher WL. Sacrifice ratios and the conduct of monetary policy in conditions of low inflation. No. 82. Bank for International Settlements, Monetary and Economic Department; 1999.
   Google Scholar
• Kydland FE, Prescott EC. Rules rather than discretion: the inconsistency of optimal plans. J Pol Econ. 1977; 85(3):473– 491. doi:10.1086/260580
   Web of Science ®Google Scholar
• Geraats PM. Central bank transparency. Econ J. 2002; 112(483):532– 565. doi:10.1111/1468-0297.00082
   Web of Science ®Google Scholar
• Peek J, Rosengren ES, Tootell GMB. Does the federal reserve possess an exploitable informational advantage? J Monet Econ. 2003; 50(4):817– 839. doi:10.1016/S0304-3932(03)00038-2
   Web of Science ®Google Scholar
• Stoian A. Public messages and asset prices. Atl Econ J. 2014; 42(4):441– 454. doi:10.1007/s11293-014-9431-5
   Google Scholar
• Chortareas G, Stasavage D, Sterne G. Does monetary policy transparency reduce disinflation costs? Manch Sch. 2003; 71(5):521– 540. doi:10.1111/1467-9957.00365
   Web of Science ®Google Scholar
• Qvigstad JF. On transparency. Norges Bank Occasional Papers No. 41; 2010.
   Google Scholar
• Williams A. The effect of transparency on output volatility. Econ Governance. 2014; 15(2):101– 129. doi:10.1007/s10101-013-0138-x
   Web of Science ®Google Scholar
• Bernanke BS, Blinder AS. The federal funds rate and the channels of monetary transmission. Am Econ Rev. 1992; 82(4):901– 921.
   Web of Science ®Google Scholar
• Spiegelhalter DJ, Best NG, Carlin BP, et al. Bayesian measures of model complexity and fit. J R Stat Soc Ser B (Stat Methodol). 2002; 66(4):583– 639. doi:10.1111/1467-9868.00353
   Google Scholar
• Brooks SP, Gelman A. General methods for monitoring convergence of iterative simulations. J Comput Graph Stat. 1998; 7(4):434– 455.
   Web of Science ®Google Scholar
• Gelman A, Rubin DB. Inference from iterative simulation using multiple sequences. Stat Sci. 1992; 7(4):457– 472.
   Google Scholar
• Sims CA. Macroeconomics and reality. Econometrica. 1980; 48(1):1– 48. doi:10.2307/1912017
   Web of Science ®Google Scholar
• Bernanke BS. Alternative explanations of the money income correlation. In: Carnegie-Rochester conference series on public policy. North-Holland. 1986. Vol. 25, p. 49– 99.
   Google Scholar