Search Results for « Cryptocurrencies »

[Purpose] The purpose of this research is to examine the legislative approaches to regulating cryptocurrencies in different states and regions. The aim is to analyze the legal framework of cryptocurrencies in the Kazakh and international economy and determine the modern scientific approaches used in their functioning. [Methodology/Approach/Design] The study employs a combination of theoretical and empirical methods, including analysis, synthesis, historical analysis, comparative analysis, formal-logical methods, and hermeneutics. A comparative analysis is conducted to assess the different regulatory approaches of states towards cryptocurrencies and evaluate the justification for terms such as "digital currency" and "digital asset." [Findings] The findings of this study underscore the necessity for further amendments to the legislation in Kazakhstan, specifically addressing overlooked details and features concerning the financial and legal aspects of cryptocurrencies. Key decisions need to be made regarding their acceptance for public payments, tax considerations, declaration requirements, and recognition as private money. The study emphasizes the significance of adopting a comprehensive and forward-thinking legal approach that supports the full legalization of cryptocurrencies while establishing a robust regulatory framework. This approach would effectively safeguard the interests of individuals and entities, address concerns, and promote a balanced and secure environment.

Abstract This study investigates the dynamic connectedness within the cryptocurrency market by analyzing four distinct cryptomarket blocks: Bitcoin and Ethereum (conventional cryptocurrencies); PAXG, DGX, and GLC (gold-backed cryptocurrencies); LINK and MNK (decentralized finance); and THETA and MANA (nonfungible tokens). Using the time-varying parameter quantile vector autoregressive (TVP-Quantile VAR) model for the period 2019–2023, our analysis reveals significant insights into the risk transmission dynamics among cryptocurrencies. Both conventional cryptocurrencies exhibit a consistent net transmitter effect in extreme periods, whereas decentralized finance (DeFi) and nonfungible tokens (NFTs) shift between a net shock transmitter and a net shock receiver over time and quantiles. Moreover, our results shed light on the hedging and safe haven properties of these assets. By linking the dynamic connectedness findings with established literature on hedging and safe haven functions, we elucidate how these cryptocurrencies perform under varying market conditions. Specifically, we report that the role of LINK, MNK, THETA, and MANA as reliable safe-haven assets is contingent upon the observed period. We also observe the hedge and safe haven properties of selected gold-backed cryptocurrencies within the network. Overall, our findings suggest that, despite the dynamic connectedness of the cryptocurrency market, investors have the flexibility to diversify across these digital assets.

Holding the loss without reason is one of the behavioural biases which are very common to be found in investment. Investment is also entering a new era of modern and sophisticated assets. One of these assets is known as cryptocurrencies. This article is written to detect whether the disposition effect is occurring to cryptocurrency investors and whether they are holding the loss. The disposition effect in this research was measured as respondents' perception of whether they sold the winning assets too fast and kept the failure in the long run. The result from this research is disposition effect was indeed found in descriptive statistics but failed to confirm the influence of independent variables on the disposition effect using the linear regression method. There is no effect of financial literacy, overconfidence, regret aversion, and risk tolerance on the perceptional disposition effect, which the emotional factor of loss aversion might cause. This will cause an individual to be reluctant to realize the loss in the hope the asset will return to the initial purchasing price. Further investigation will be the future area for developing research about the disposition effect. Interestingly, this research also found the literacy score of the respondents is deficient, but they are very confident in investing in the most volatile asset, such as cryptocurrencies. This research has several limitations, such as the sample being relatively similar in financial literacy, so selecting a wide range (heterogenous), sample in future research is crucial. Another improvement is in methodology, and perhaps an experimental approach could be a promising field in the study of behavioural bias in the future.