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      Internet of Behaviors Implementation in Organizational Contexts : 

      Overreaction, Underreaction, and Short-Term Efficient Reaction Evidence for Cryptocurrencies

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          Abstract

          This chapter aims to analyze the price efficiency of Bitcoin (BTC), DASH, EOS, Ethereum (ETH), LISK, Litecoin (LTC), Monero, NEO, QUANTUM, RIPPLE, STELLAR, and ZCASH in their weak form between March 1, 2018 and March 1, 2023 and determine whether they experience overreactions. The results show that cryptocurrencies exhibit positive and negative autocorrelations, which can reduce volatility and moderate price fluctuations. The results also show persistence in cryptocurrency returns, suggesting long-term trends or market patterns that individual and institutional investors can exploit. It is essential to recognize that cryptocurrencies are characterized by a high degree of complexity and instability. Investors need to monitor market trends and make the necessary adjustments to their investment strategies to anticipate market changes.

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          Testing for a unit root in time series regression

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            Testing for unit roots in heterogeneous panels

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              Unit root tests in panel data: asymptotic and finite-sample properties

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                Book Chapter
                November 1 2023
                : 288-312
                10.4018/978-1-6684-9039-6.ch014
                49d6aeda-aafb-4a2a-a5dd-94cefbb04d38
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