References
- 1. A. Abhyankar, L. S. C. & W. W. (1995). Moment condition failure in high frequency financial data: evidence from the S&P 500. Applied Economics Letters, 2(8), 288–290. https://doi.org/DOI:10.1080/13504859535725810.1080/135048595357258
- 2. Ajaz, T. (2019). Nonlinear Reaction functions: Evidence from India. Journal of Central Banking Theory and Practice, 8(1), 111–132. https://doi.org/10.2478/jcbtp-2019-000610.2478/jcbtp-2019-0006
- 3. Arms, R. W. (1996). Trading without Fear (1st ed.). John Wiley and Sons.
- 4. Australian Securities Exchange. (2013). Australian Share Ownership Study. Sydney. Retrieved from https://www.asx.com.au/documents/resources/australian-share-ownership-study-2014.pdf
- 5. Bentes, S. R., & Menezes, R. (2012). Entropy: A new measure of stock market volatility? Journal of Physics: Conference Series, 394(1). https://doi.org/10.1088/1742-6596/394/1/01203310.1088/1742-6596/394/1/012033
- 6. Cotfas, L. A. (2013). A quantum mechanical model for the rate of return. Romanian Reports in Physics, 65(2), 327-333.
- 7. Dhaene, J., Dony, J., Forys, M., Linders, D., & Schoutens, W. (2011). FIX - The fear index. Measuring market fear. FBE Research Report AFI_1155, (January), 1–17. https://doi.org/10.2139/ssrn.188833510.2139/ssrn.1888335
- 8. Dorsey, D. (1993). Technical Analysis of Stocks and Commodities, New York.
- 9. Dumičić, M. (2019). Linkages between Fiscal Policy and Financial (In) Stability. Journal of Central Banking Theory and Practice, 8(1), 97–109. https://doi.org/10.2478/jcbtp-2019-000510.2478/jcbtp-2019-0005
- 10. Fabris, N. (2018). Challenges for modern monetary policy. Journal of Central Banking Theory and Practice, 7(2), 5–24. https://doi.org/10.2478/jcbtp-2018-001010.2478/jcbtp-2018-0010
- 11. Ghosh, B., Krishna, M., Rao, S., Kozarević, E., & Pandey, R. K. (2018). Predictability and herding of bourse volatility: an econophysics analogue. Investment Management and Financial Innovations, 15(2), 317–326. https://doi.org/10.21511/imfi.15(2).2018.2810.21511/imfi.15(2).2018.28
- 12. Ghosh, B., & Kozarevic, E. (2018). Identifying explosive behavioral trace in the CNX nifty index: A quantum finance approach. Investment Management and Financial Innovations, 15(1), 208–223. https://doi.org/10.21511/imfi.15(1).2018.1810.21511/imfi.15(1).2018.18
- 13. Ghosh, B. & Kozarević, E. (2019). Multifractal analysis of volatility for detection of herding and bubble: evidence from CNX Nifty HFT. Investment Management and Financial Innovations, 16(3), 182-193. doi:10.21511/imfi.16(3).2019.1710.21511/imfi.16(3).2019.17
- 14. Gopikrishnan, P., Meyer, M., Amaral, L. A. N., & Stanley, H. E. (1998). Inverse cubic law for the distribution of stock price variations. European Physical Journal B, 3(2), 139–140. https://doi.org/10.1007/s10051005029210.1007/s100510050292
- 15. Haug, E., & Taleb, N. N. (2007). Why we have never used the Black-Scholes-Merton option pricing formula. Social Science Research Network, (January), 1–11. https://doi.org/10.2139/ssrn.1012075
- 16. Jakimowicz, A., & Juzwiszyn, J. (2015). Balance in the turbulent world of economy. Acta Physica Polonica A, 127(3), A78–A85. https://doi.org/10.12693/APhysPolA.127.A-7810.12693/APhysPolA.127.A-78
- 17. L. Bachelier. (1900). Th´eorie de la sp´ eculation. Ann. Sci. Ecole Norm. Sup, ISSN 0012-9593, 17, 21–86. Retrieved from http://eudml.org/doc/8114610.24033/asens.476
- 18. Laloux, L., Potters, M., Cont, R., Aguilar, J. P., & Bouchaud, J. P. (1998). Are financial crashes predictable? Europhys. Lett., 45, 1-5.10.1209/epl/i1999-00122-9
- 19. Leora Klapper, Annamaria Lusardi, & Peter van Oudheusden. (2014). Financial Literacy Around the World: Leora Klapper, World Bank Development Research Group Annamaria Lusardi, The George Washington University School of Business Peter van Oudheusden, World Bank Development Research Group INSIGHTS FROM THE STANDARD & POOR’. The Standard & Poor’S Ratings Services Global Financial Literacy Survey, 10(04), 509–525. Retrieved from https://www.mhfi.com/corporate-responsibility/global-financial-literacy-survey
- 20. Los, C. A. (2004). Measuring Financial Cash Flow and Term Structure Dynamics. SSRN Electronic Journal.
- 21. Mandelbrot, B. and R. L. H. (2004). Misbehavior of markets. Basic Books.
- 22. Mantegna, R. N., & Stanley, H. E. (1995). Scaling behaviour in the dynamics of an economic index. Nature. https://doi.org/10.1038/376046a010.1038/376046a0
- 23. Ormos, M., & Timotity, D. (2016). Market microstructure during financial crisis: Dynamics of informed and heuristic-driven trading. Finance Research Letters, 1–15. https://doi.org/10.1016/j.frl.2016.06.00310.1016/j.frl.2016.06.003
- 24. Pan, R. K., & Sinha, S. (2008). Inverse-cubic law of index fluctuation distribution in Indian markets. Physica A: Statistical Mechanics and Its Applications, 387(8–9), 2055–2065. https://doi.org/10.1016/j.physa.2007.11.03110.1016/j.physa.2007.11.031
- 25. Samuelson, P. A. (1965). Rational Theory of Warrant Pricing. Industrial Management Review, 6(2), 13–39.
- 26. Samuelson, P. A. (1969). Classical and Neoclassical Theory. In R. W. Clower (Ed.), Monetary Theory (pp. 170–190). London: Penguin.
- 27. Sinha, S., Thess, M and Markose, T. (2013). How Unstable Are Complex Financial Systems? Analyzing an Inter-bank Network of Credit Relations. In Econophysics of Systemic Risk and Network Dynamics, New Economic Windows (Vol. 13). Springer Verlag. https://doi.org/10.1007/978-88-470-2553-0_510.1007/978-88-470-2553-0_5
- 28. Zhang, C., & Huang, L. (2010a). A quantum model for the stock market. Physica A: Statistical Mechanics and Its Applications, 389(24), 389(24), 5769–5775. https://doi.org/10.1016/j.physa.2010.09.00810.1016/j.physa.2010.09.008
- 29. Zhang, C., & Huang, L. (2010b). A quantum model for the stock market. Physica A: Statistical Mechanics and Its Applications, 389(24), 5769–5775. https://doi.org/10.1016/J.PHYSA.2010.09.00810.1016/j.physa.2010.09.008
- 30. Zhang, Q., Sornette, D., BalcIlar, M., Gupta, R., Ozdemir, Z. A., & Yetkiner, H. (2016). LPPLS bubble indicators over two centuries of the S&P 500 index. Physica A: Statistical Mechanics and Its Applications, 458. https://doi.org/10.1016/j.physa.2016.03.10310.1016/j.physa.2016.03.103