The related literature on CC is much more popular now, including Folkinshteyn & Lennon (2016), Francisco & Swanson (2018), Gunawan and Novendra (2017) and Presthusa & O'Malley (2017). Crypto-currencies (CC hereafter), such as Bitcoin, Ripple, Bitcoin Cash, and Litecoin etc., have boldly moved in focus of attention in recent years. In fact, since trade barriers between great powers are pulling out of global economy recession, it is getting harder for individual investors to find better investment opportunities until the crypto-currency appears. Usually, in order to pursue capital maintenance, more winning or permanent income, most individual investors have to give their own fortune to private bank, trust, and insurance companies etc. Furthermore, current researches on the crypto-currencies mostly focus on the expected return, volatility and risk, ignoring the behavior perspectives in crypto-currencies among individual investors. Although crypto-currency has been gained great attention in financial markets, little attention has ever been paid in individual investors’ perspectives.

Crypto-currency is a speculative financial asset with expected return, risk and volatility as well as ordinary currencies. The two largest economic entities, the United States and China have declared to develop their own crypto-currencies. The findings reinforce major roles for both market regulators and individual investors in considering and providing insights for future policy, management and investigations.Ĭrypto-currencies (CC) are rapidly gaining more and more interest as a technology that is potentially ground breaking and disruptive for the whole payments industry on a global scale. This study proves that the individual investors are not only attracted by significant expected return from crypto-currency but also relevant knowledge and risks disclosed by crypto-currency market regulators and distributors. The investigation indicates that crypto-currency market can be regarded as a kind of beneficial supplement of tradition investment market for those individual investors who are with high innovativeness, reward sensitivity, knowledge and perceived risk. By sampling factors of individual investors related with crypto-currency (CC), the study applies structural equation modeling method (SEM) to investigate their effects on switching intention by integrating PPM and Reinforcement Sensitivity theories (RST) to form a pulling, pushing and mooring effects model. We investigate factors affecting individual investors’ switching intention from traditional financial market to crypto-currency financial market.

Crypto currency compare specs