Zhengxun Tan's research while affiliated with Hunan Normal University and other places

... That is, the asset-liability ratio shall not exceed 70%, the net gearing ratio (liability to owner's equity) should not exceed 100%, and the cash to short term debt ratio shall be greater than one after excluding the prepaid receivables. Tan et al. (2022) mentioned the anomaly of " the more regulation, the more rise", which is a common sense agreed by China's domestic housing market researchers before 2017, these strictest policy issued in 2018 and 2020 show the central government and banks' determinations to regulate the housing market and completely changed the public the unlimited housing increasing expectations. ...

... Most studies of housing price determination confirmed the explaining power of GDP and money supply as the most essential determinants. For example, Tan et al. [5] found that the fundamental value of housing prices is determined by macroeconomic factors of GDP and money supply. Li and Chiang [6] discovered an equilibrium relationship between housing prices and GDP. ...

... However, diferent markets show various forms in different periods, especially in the stock market, where there are many stylized facts [2][3][4], such as volatility clustering [5][6][7], fat tails [8][9][10], and long memories [11,12], which are difcult to explain by modern fnancial theory. Terefore, modern fnancial theory based on efcient market hypothesis and rational expectation theory is not accurate enough in the risk management. ...

... Such dependence behavior would imply high predictability of these returns which can be used to generate substantial profits. In the same vein, Tan et al. (2020) pointed out that the existence of long memory in the return series implies potential predictability to returns, which contradicts the EMH. ...

... Cryptocurrencies have recently attracted significant attention from several scientists due to enthusiasm and innovations in economic life. In the studies that produced the early literature of cryptocurrencies, researchers generally conducted research to determine frequently pondered characteristics of cryptocurrencies, such as user's latent intention-asset or a currency node [11][12][13], fundamental price and speculative bubble [14][15][16], investor attention and behavioral determinants [17][18][19][20], portfolio management [21][22][23][24], volatility spillover and value forecasting [25][26][27], liquidity [28,29], risk management and hedging opportunities [30,31], cryptomarket efficiency [32,33], price dependence and movements [34,35], crash risk and bubble form [36][37][38][39], connectedness with traditional assets/currencies or markets [40][41][42][43][44], and energy consumption [45][46][47]. ...

... It has been two years since the whole globe cannot find the exit route from the prevailing position; the only remedy recognized is vaccines. During any disease outbreak, the population faces mental stress, social disorder, emotional distress and economic losses (Tan et al., 2021). India is among those nations along with the world which is adversely affected by the pandemic.The situation lockdown has been imposed all over the country, leading to the consequences of poverty and other adverse effects on the economy and the nation's growth (Favale et al., 2020;Nundy et al., 2021).The whole economy was under the comfort of a new recession and economic crisis. ...

... In particular, the time-varying ARFIMA-GARCH process models long memory, conditional and unconditional heteroscedasticity simultaneously for d > 0. Some recent development on time-varying ARFIMA-GARCH processes includes Belkhouja and Mootamri (2016), Tan and Liu (2021). When c(t), α(t) and β(t) do not depend on t, the model (3.3) coincides with Baillie et al. (1996)'s ARFIMA(p,d,q)-GARCH(1,1) model. ...