Διπλωματική εργασία--Πανεπιστήμιο Μακεδονίας, Θεσσαλονίκη, 2023.
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Traditional finance involves two main approaches when it comes to asset valuation, sentiment
analysis or other attempted estimations of market variables. The more academically acceptable
methods of trying to forecast future magnitudes of financial assets or asset classes based on
fundamentals and the attempt to predict price movements using technical analysis, which
includes various methodologies.
The recent advent of cryptocurrency and the different ecosystems that came along with
this invention, have shown an empty space in traditional financial analysis propositions. Other
than technical analysis, which needs nothing more than the historicity of price movements,
crypto investors, traders and market analysts usually had no fundamental financial subjects of
analysis, since traditional finance and accounting categories were more often than not, nonapplicable. This space is being slowly filled with new approaches, which are trying to spot
those categories that are essentially fundamental to the formation of crypto asset prices and use
them to adequately strategize over future volatility.
The purpose of this paper is to showcase some of the fundamental blockchain data and
the subsequent metrics that are used in these types of analyses, as well as examine some of
these attempts. Focus is mainly put in the case of Ethereum and its native cryptocurrency Ether
because of its nature as a network, on top of which, multiple parallel applications have formed,
especially in the decentralized financial sector. Through the use of real examples from market
analysts and academic researchers, we try to present an adequate understanding of these new
methods and how exactly they are put to use. Finally, we notice similarities and differences
with traditional asset classes and traditional methods of analyses, in an attempt to bridge the
gap among newer and older approaches to finance and financial analysis.
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Previous issue date: 2023-10-30
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Submitted by ΑΘΑΝΑΣΙΟΣ ΓΚΟΥΡΑΜΑΝΗΣ (
[email protected]) on 2023-10-30T11:36:03Z
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Πανεπιστήμιο Μακεδονίας
