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IN BLOCKCHAIN WE TRUST: A COMPARISON OF THE INVESTMENT
POTENTIAL OF BITCOIN AND ETHER OVER A FIVE-YEAR TIME HORIZON
EconoMIIS Team Courtney Kemp, Laura Reid, Mario Romero
Middlebury Institute of International Studies at Monterey
2
Table of Contents
Introduction 4
Methodology 5
Supply and Demand Estimation Model 5
Table 1 7
Optimization Model 8
Results 9
Regression and Correlation Analyses 9
Table 2 9
Table 3 10
Historical Events Analysis 10
Figure 1 12
Graph 1 13
Figure 2 13
Graph 2 15
Discussion 16
Conclusion 17
Appendices 19
A. Abstract 19
B. Scenarios 19
C. Investment Scenarios 20
D. Optimal Portfolio Mix Results 20
E. Bitcoin Price Fluctuations Examples 20
F. Ether vs. Bitcoin Price Fluctuation Examples 22
G. Market Capitalization Graph 22
H. Velocity Demonstration 23
Bibliography 24
4
Introduction
In 2009, Satoshi Nakomoto launched what has been called the “greatest technological
breakthrough since the Internet”1 when he anonymously released the first blockchain program
code and dubbed Bitcoin the world’s first decentralized virtual currency. Since its inception,
Bitcoin has followed an unsteady trajectory of value creation while numerous competitors -
notably Ether2 - have emerged to rival Bitcoin. Despite an influx of media buzz and venture
capital,3 digital currencies face an uncertain future amid an ever-changing global landscape.
Investment requires careful consideration of the potential use cases and risks associated with
various cryptocurrencies.
On the surface, Bitcoin and Ether do not lend themselves to direct comparison. They are
at different stages of market adoption, with Bitcoin benefiting from a first-mover advantage. The
two currencies also have the potential to act as complements rather than competitors: Bitcoin as a
store of value and medium of exchange and Ether as a technology platform powered by Ether.
Their unique uses subject them to different global risks, some unknown and others anticipated,
such as the imminent Brexit. Given the turbulent status of digital currencies and the
unpredictable global setting in general, the design of any cryptocurrency portfolio must seek to
minimize risk while still pursuing profit.
This project seeks to maximize risk-adjusted returns for a $1 million portfolio by
optimizing its Sharpe ratio. Though historical prices and volatility seem to indicate that Bitcoin
is a better investment, the forward-looking model independently suggests 30% investment in
1 Gertrude Chavez-Dreyfuss and Michael Connor, “All the rage a year ago, Bitcoin sputters as adoption stalls,”
Reuters News , December 11, 2014, accessed on Factiva on June 16, 2015. 2 “What is Ether”. Coinbase. https://www.coinbase.com/what-is-Ether, 2016 3“Bitcoin Venture Capital”, Coin Desk, September 2016
5
Ether and 70% in Bitcoin based on the anticipated use cases and global risks affecting each
digital currency over the next five years. A second result of this project is the creation of the
model itself, which offers a template to estimate the future growth trajectory of each currency
and optimize the Sharpe ratio, and hence the risk-adjusted returns, for a cryptocurrency portfolio.
Methodology
In order to reconcile the differences between Bitcoin and Ether, regression and
correlation analyses were conducted to examine the cryptocurrencies’ behavior relative to global
markets and traditional commodities. This was followed by a historical event analysis to evaluate
the past impact of global shocks on Bitcoin and Ether prices. Together, these analyses informed a
supply and demand model that generated several scenarios for Bitcoin and Ether’s future prices,
reflecting various use cases and systemic risks. Finally, the Sharpe ratio optimization model
utilized the behavior of these scenarios to identify the ideal mix of Bitcoin and Ether to minimize
risk within the portfolio while maintaining profitability.
Supply and Demand Estimation Model
The supply and demand estimation model distills Bitcoin and Ether into a comparable
price per unit, with sensitivity built in for growing use cases and global shocks. Price is
calculated as follows:
Price = (Investment Demand + (Transactional Demand*Days Destroyed)) Supply
The model generates nine possible outcomes for each currency, with variations according
to the generation rate and the initial proportion of investment demand to transactional demand, as
depicted in Appendix B. Days destroyed is included as an inverse measure of velocity, although
in initial tests it was maintained as a baseline of 1. The model does allow for variation, however,
and the resulting positive impact on price is demonstrated in Appendix B.
6
An endogenous relationship exists between supply and demand because Bitcoin and
Ether offer mining rewards for transaction verification. With Bitcoin supply capped at 21 million
Bitcoins, the mining reward is halved every 210,000 blocks mined.4 The next halving is expected
in July 2020, but the model builds in three possible rates for Bitcoin supply growth to reach
halving in year 2019, on schedule, and in year 2021 respectively. A similar range of three rates
was developed for Ether (Appendix C). The model also accounts for the implementation of
Ether’s proof of stake5 - beginning in year 1 but not projected to be completed until year 5 -
which reduces the mining reward to transaction fees only, effectively limiting future generation.
At the same time, the gradual implementation of POS is likely to boost investment demand
immediately because it requires staking a quantity of Ether in order to receive a verification
reward.
The first step in estimating the demand for these two currencies is to determine the initial
split between transactional and investment demand. The model defines transactional demand as
the sum of fuel for contracts, individual consumer purchases and ATM services, currency
exchange including remittances, and “vice” use cases such as shadow markets, gambling, and
money laundering.6 Investment demand represents the store of value use case alone. For Bitcoin,
studies estimate that investment demand represented 64% of the monetary base in 2015, up from
55% in 2014.7 Three scenarios were developed to estimate the 2016 ratio: 55%, 64%, and 75%.
Given that Ether is not yet considered a fully-fledged currency, and therefore is not often used as
4 Blockchain Half. http://www.Bitcoinblockhalf.com/, 2016 5 Coin Pursuit. https://www.coinpursuit.com/pages/proof-of-work-proof-of-stake-bitcoin-mining/, 2014 6 Swanson, Tim. Great Wall of Numbers . “What did Bitcoin numbers look like in 2015?”
http://www.ofnumbers.com/2016/01/10/what-did -Bitcoin-movements-look-like-in -2015/, 2015 7 Burniske, White. “Bitcoin: Ringing the bell for a new asset class”, Ark Invest, 2016
7
a store of value, scenarios for its proportion of investment demand are comparatively low at 5%,
10%, and 15% (Appendix C).
Under transactional demand, each use case is assigned a starting value as a proportion of
the market capitalization for transactional demand in U.S. dollars. The proportions are intended
to reflect the current state of the market but were reconciled from several conflicting sources to
yield the proportions in Table 1. Though minimal information is available about Ether use cases,
its present use is predominantly as a fuel for contracts.
Table 1
The base growth rate for Bitcoin demand in year 1 is set as its growth rate from April to
October 2016. This base growth rate is reduced by 5% for each of the following years to account
for its slowing growth as it reaches broader adoption. Ether’s base growth rate in year 1 is set to
equal its growth rate for the same period for comparability, but due to the expected
implementation of POS, the model boosts its growth in demand beginning in year 2. In addition
to the base growth rates, additional growth or decline may be applied to a use case when
exogenous shocks are expected to alter its demand, such as in response to new technology or
regulatory signals. A similar process is conducted for investment demand with six identified
potential shocks that would create a lasting impact on price over the five-year time horizon:
Brexit and general political uncertainty, internal security breaches, the impending burst of
8
China’s real estate bubble, regulatory signals for digital currencies, capital flight from emerging
markets, and a global financial crisis. The magnitudes for these events were informed by the
historical event analysis and the relative sensitivity of Bitcoin and Ether to market trends.
Optimization Model
Utilizing the estimated prices for every year under each scenario, an optimization model
is set to maximize the Sharpe ratio of the $1 million digital currency portfolio. The Sharpe ratio
is an indication of the risk-adjusted returns of a portfolio,8 and its optimization here is a means of
diversifying the portfolio. It is calculated as follows, with the risk-free rate equal to the 1.8%
yield on a 10-year U.S. Treasury bond:9
Sharpe Ratio = (Mean Portfolio Return - Risk-Free Rate)
Standard Deviation of Portfolio Return
The Solver function in Excel manipulates the proportion of each currency in the portfolio in
order to optimize the portfolio Sharpe ratio. The output serves as a recommendation for how to
divide the $1 million to minimize portfolio risk and profitably invest in the two cryptocurrencies
for the next five years. However, qualitative analysis must verify the quantitative output before
adopting it as the final strategy.
Results
Regression and Correlation Analyses
Following Ciaian et al.10 and Burniske,11 the historical price of Bitcoin was regressed on
historical prices for the Dow Jones, gold, oil, as well as the number of Bitcoin transactions, using
logarithmic transformations. With the exception of the price of oil, each of these variables
8 Investopedia. http://www.investopedia.com/terms/s/sharperatio.asp, 2016 9 Bloomberg. http://www.bloomberg.com/markets/rates -bonds/government-bonds/us, 2016 10 Pavel Ciaian, Miroslava Rajcaniova, d'Artis Kancs. “The Economics of Bitcoin Price Formation”, Cornell
University Library, 2014 11 Burniske, White. “Bitcoin: Ringing the bell for a new asset class”, Ark Invest, 2016
9
demonstrate a statistically significant effect on the price of Bitcoin (Table 1). These findings
were supported by a correlation matrix of actual prices (Table 2) and indicate that, particularly
with regards to specific market exchanges, Bitcoin is treated as a means for hedging investment
and a potential safe haven in the event of an economic downturn.
Table 2
Cryptocurrency-Asset Regression Analysis12
Table 3
Cryptocurrency-Asset Correlation Analysis1314
If global recessions or a series of isolated Black Swan events occur, consumers may be driven to
adopt Bitcoin over competitors at even higher rates. Notably, the Shanghai Composite Exchange
12 Note: Optimal lag structures were tested for explanatory and independent variables resulting in there no
materially significant differences detected. Data are from quandl.com. 13 The Wall Street Journal. http://online.wsj.com/mdc/public/page/mdc_international.html?refresh=on, 2016 14 Blockchain Info. https://blockchain.info/charts/total-Bitcoins?timespan=all, 2016
10
exhibited an inverse relationship with the price of Bitcoin. Since 77% of the Bitcoin trading
volume is exchanged in Chinese yuan,15 this tendency to invest in Bitcoins during economic
slumps in the Chinese market is expected to have a substantial impact on future prices.
Historical Events Analysis
Since the first genesis block kicked off Bitcoin’s blockchain in 2009, Bitcoin has become
the largest currency of its kind in total market value. The coin’s price, however, has experienced
tremendous volatility since its inception (Figure 1, Graph 1, and Appendix E). Analysis of Coin
Desk’s price index shows that Bitcoin responds most to an ecosystem of risks around :
Government Regulation: Government regulation has proven to cause significant fluctuation in
Bitcoin’s price.
Security Breaches: Both Ether and Bitcoin have experienced hacks, but Ether is widely
considered more secure. A host of large banks, technology companies, and financial service
firms have a vested interest in the development of Ether technology16 17 18 19. On the other hand,
Bitcoin’s structure has been questioned due to the ability of miners to obtain over 50% of mining
nodes which allows select mining pools to have the community influence to alter Bitcoin in their
favor. Interestingly, the conducted price analysis shows that security breaches seem to have
15 "Global Market for Bitcoin Trading Volume, 2015." Market Share Reporter. Ed. Robert S. Lazich and Virgil L. Burton, III. 26th ed. Farmington Hills, Mich.: Gale Group, 2016. 844 pp. 2 vols. Gale Directory Library. Gale. Middlebury Institute of Intl
Studies. 17 Oct. 2016 <http://find.galegroup.com/gdl/start.do?prodId=GDL>. 16 Pete Rizzo, “IBM Director Declares 'We’re All in on Blockchain’,” Coin Desk, February 10, 2016 17 Justin Reynolds, “Move over, Bitcoin: Ether is about to change everything,” KNote 18 Robert Hackett, “Why J.P. Morgan Chase Is Building a Blockchain on Ether,” Fortune, October 4, 2016 19 Andrew Quentson, “CNN catches up with the CEO of CHBTC, one of China’s largest exchanges,” CNN, August
23, 2016
11
resulted in a slowly decreasing impact over time, indicating that Bitcoin users are increasingly
accepting of occasional security breaches as they learn how the market behaves. As the volume
of users and investors increases, the overall value of the cryptocurrency will also increase,
allowing the market to sustain shocks more easily.
Internal Governance: Though Bitcoin began as a wholly-decentralized model, programmers have
initiated “hard forks” to correct or improve upon the system, which have been perceived as
violations of the public ledger’s core principal20. Comparatively, resistance from the Ether
community to similar instances has been minimal.
External Shocks: Capital flight and capital controls could become a particularly significant factor
in the future, especially when the volume of capital stored in emerging markets is taken into
account - particularly those of the BRIC economies21. As global uncertainty and mistrust of
traditional banks continue to grow, so might capital flight.
20Bailey Reutzel, “Preparing for a Bitcoin Hard Fork,” CoinDesk, September 14, 2016 21Volatility behavior of BRIC capital markets in the 2008 international financial crisis,“ African Journal of
Business Management, June 14, 2014
12
Figure 1
BTC Historical Price from January 2013 - October 2016
Graph 1
22 23 24 25
22 Cryptocompare. https://www.cryptocompare.com/coins/eth/charts/USD , 2016 23 The Wall Street Journal. http://online.wsj.com/mdc/public/page/mdc_international.html?refresh=on, 2016 24 Blockchain Info. https://blockchain.info/charts/total-Bitcoins?timespan=all, 2016 25 Etherscan. https://Etherscan.io/, 2016
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Simply because the two blockchain technologies are popularly combined into one group,
however, does not mean that they move in tandem or respond to events in the same manner (see
Figure 2 and Appendix F).
Figure 2
BTC and ETH Historical Price from February to October 2016
A historical event analysis was able to provide a concrete anchoring for the estimation of
potential magnitude of future global shocks. Two events in particular serve as proxies for both
market crashes and geopolitical uncertainty. The Brexit referendum vote was planned for June
23rd, 2016. Prior to the vote, there is a clear increase of Bitcoin’s market capitalization of almost
$3 billion from $9.6 billion on June 11, to $12 billion on June 19. Although this spike partially
moderated just before the vote, the subsequent increase following the “yes” vote led to a
stabilization of about $10 billion market cap. As of now, the United Kingdom expects to trigger
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Article 50 in March 2017. While the announcement is unlikely to have the same type of surprise
effect as the referendum, the anticipated economic change could create significant capital flight
toward safe-haven assets that are considered to be safe from drastic market disruptions and
crises, in particular if they are considered to be highly liquid. In addition, by its unpredictable
and geopolitical nature, the Brexit provides a clear proxy for other potential geopolitical crises,
such as the ongoing rise of populist political movements in Europe and the U.S., as well as
amplification of other global conflicts.
The 2015 Chinese stock market crash provided a baseline understanding of how financial
market shocks influenced cryptocurrencies. Data shows that on July 10, the Shanghai Composite
Exchange dropped by almost 30% while the value of Bitcoin rose by over 20% (Graph 2).
Graph 2
Price Change Comparison: Bitcoin vs. Shanghai Composite Exchange July 201526
26 Samman, George. Coin Telegraph. “ China’s Stock Market Freefall a Boon for Bitcoin”.
https://cointelegraph.com/news/chinas -stock-market-freefall-a-boon-for-Bitcoin, 2015
15
These dynamics support the general hypothesis that Bitcoin acts as a significant store of value
and is used to hedge against negative shocks to equity markets. Running regressions with
logarithmic transformation of the data, determined that the value of the Shanghai Composite
Exchange statistically significantly influenced the price of Bitcoin in an inverse relationship. The
2015 crash was considered relatively small, yet linked to a significant buildup of instability
within the Chinese economy, and the possibility of future systemic correction cannot be ignored.
By using the historical data of the relatively small 2015 Chinese stock market crash as a proxy, it
can be estimated that the magnitude of a larger Chinese stock market crash in the future could
have up to a 20% lasting impact on global stock markets. In addition to the potential China real
estate collapse, there are other signals that other financial crises27 could occur, such as the
growing distrust in Wells Fargo or the litigation currently underway against Deutsche Bank
which could create waves of global financial instability. Understanding the impacts of historical
data on cryptocurrency prices provides us with baseline data in examining long term impacts of
these financial shocks.
The optimization model resulted in a maximum Sharpe ratio of 17.36 for a portfolio mix
of 30% Ether and 70% Bitcoin. This resulted in an ending value of $6,739,610, representing a
574% return. This return is within the range typically expected by conservative venture capital
firms for a five-year time horizon.
Discussion
Despite the results from the optimization model, there are various challenges that Ether
must overcome before it can truly rival Bitcoin as a better risk-adjusted investment. First, Bitcoin
has the advantage of being a first mover and benefits from a flywheel effect that results in its
27 Bitcoinist.net. “What will happen to Bitcoin when the Economy Goes Bust?”.
http://insideBitcoins.com/news/what-will-happen-to-Bitcoin-when-the-economy-goes-bust/35243, 2015
16
self-perpetuation. In addition, Bitcoin has established itself as being highly liquid, this is a
quality that Ether has yet to obtain, in part because its volume and number of transactions pales
in comparison to Bitcoin’s. Yet, Ether has taken steps in order to improve its liquidity, such as
through the establishment of ATMs.
Moreover, the advantage afforded to Ether as the first cryptocurrency to execute ‘smart
contracts” may not actually result in additional creation for Ether. While smart contracts are
gaining traction among large financial institutions, for example, large movers are utilizing
private rather than public blockchains that generate and utilize their own coins to fuel the
contracts, which does not increase stored value for Ether. If the technology were proprietary,
then the potential return would be even greater than our model predicts but this remains unlikely.
Finally, with these use cases, Ethereum has opened doors for other players to develop even more
innovative and flexible technology to compete and potentially overtake it. Indeed, it has already
experienced several attacks that have delayed its progression to the third phase.
Conclusion
Prior to crafting the final projection, an optimization model based on historical prices
from the last six months determined that the optimal split would be 91% Bitcoin and 9% Ether
with a Sharpe portfolio ratio of 0.06. Considering that cryptocurrencies are so new and have high
volatility, their past prices are poor indicators of their future outlook and therefore are not
reliable in particular when considering the five-year time horizon. The new, forward-looking
recommendation, which is based on a future projection based on the global landscape is a better
depiction of how to maximize risk-adjusted return and resulted in an optimized recommendation
of 70% investment in Bitcoin and 30% investment in Ether. The model, with its various
17
scenarios, successfully takes many of the qualitative uncertainties that strictly a strictly
quantitative account would have overlooked.
Appendices
A. Abstract Ether and Bitcoin are in a race to dominate the cryptocurrency market, and investors are scrambling to
decide which currency yields the better risk-adjusted investment. Both cryptocurrencies have significant
growth projections, but uncertainty exists around Ether’s prospects as well as its current weakness as a
store of value. In valuing Bitcoin and Ether, a regression and correlation analysis examined the
relationships of the currencies with other asset classes, and a historical event analysis produced a model
adjusted for global shocks. These analyses permit the development of a number of scenarios, which can
be used to optimize the portfolio Sharpe ratio. Further qualitative research regarding strengths,
weaknesses, and uncertainties led us to conclude that Kraken should invest 30% in Ether and 70% in
Bitcoin. Although large companies are investing in Ether technology, they will be largely using private
blockchains, so it is doubtful that the number of transactions they bring will create a significant increase
in value when compared to Bitcoin’s established market share.
B. Scenarios
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C. Investment Scenarios
This table describes the ranges of proportion of investment and supply growth informing the nine different scenarios for both Bitcoin and Either. D. Optimal Portfolio Mix Results
E. Bitcoin Price Fluctuations Examples
Government Regulation: Bitcoin’s price responded favorably in November 2013 when the US
Senate declared the coin to hold great promise and innovation that should advance unhindered by
law enforcement and undue regulation28 and China accepted Bitcoin as a legal economic
activity.29 Favorable regulatory environments in both of Bitcoin’s major markets energized
consumers and spurred trade volumes, leading to an increase in price from $685.75 to $1075.16
28 Full Committee Hearing, “Beyond Silk Road: Potential Risks, Threats, and Promises of Virtual Currencies,” US
Senate, November 18, 2013 29 Adam Century, “Bitcoin gets a cautious nod from china’s central bank,” The New York Times , November 22,
2014
19
over a 10-day period. Similarly, when the European Court of Justice ruled that the exchange of
virtual currencies was not subject to value-added-tax (VAT) in the European Union, Bitcoin and
its alternatives were classified as a currency rather than mere goods or property30, and Bitcoin’s
price rose nearly $50 over the next 10 days.. On the other hand, regulation has also caused the
coin’s price to decrease. When China declared Bitcoin not to be a currency in December 2013, it
imposed its first policy restraints on Bitcoin31 and prices sank dramatically from $1022.37 to
$839.93 over a 10-day period. Prices rebounded almost $100 next April when China updated its
restrictions against the coin’s exchanges32.
Security: In January 2015, for example, unidentified hackers were able to steal 18,866 Bitcoins
from Bitstamp33 34, resulting in the coin’s price plummeting over $75 in the 10 day period after
the hack. More recently, Bitfinex also declared that about 120,000 Bitcoins from customer
accounts had been stolen following a security breach, a sum worth about $72 million. The price
of Bitcoin plummeted nearly 20% the day of the announcement before beginning a gradual
recovery over the next two weeks35 .
Internal Governance
For example, when ex-Google developer Mike Hearn declared that Bitcoin had failed and that he
was leaving the community on January 14, 2016, Bitcoin price fell $50 within 24 hours. Hearn
cited censorship in the Bitcoin communication, the centralization of mining in China, and the
30 Matt Clinch, “Bitcoin now tax-free in Europe after court ruling,” CNBC, October 22, 2015 31 Gerry Mullany, “China Restricts Banks’ use of Bitcoin,” The New York Times , December 5, 2013 32 Jon Southurst, “Bitcoin Price Drops 10% as Chinese Exchanges Stop Bank Deposits,” Coin Desk, April 10, 2014 33 Stan Higgins, “Bitstamp Claims $5 Million Lost in Hot Wallet Hack,” Coin Desk, January 5, 2015 34 Stan Higgins, “Details of $5 Million Bitstamp Hack Revealed,” Coin Desk, July 1, 2015 35 Stan Higgins, “”The Bitfinex Bitcoin Hack: What We Know (And Don't Know),” Coin Desk, August 3, 2016
20
unwillingness of Bitcoin’s current core developers to increase the limit on Bitcoin’s block size as
his main reasons for leaving the community, spurring consumer uncertainty in the coin36. 37
F. Ether vs. Bitcoin Price Fluctuation Examples
The G-2038 meeting caused an increase in the price Bitcoin yet had much less of an impact on the
price of Ether. On the other hand, the release of the Homestead, Ether’s newest set of software
and network improvements, resulted in no significant change for Bitcoin but was a significant
boon for Ether. In other cases, as with the announcement of the Brexit referendum results and the
implementation of Chinese capital controls, both Bitcoin and Ether prices move together. From
these examples, it can be inferred that the asset properties of each of the cryptocurrencies cause
them to react differently in certain circumstances even within events that would be positive for
both.
36 Samburaj Das, “Mike Hearn Says Bitcoin Has Failed and Sees a Price Plunge in the Future,” Coin Desk, January
15, 2016 37 Mike Hearn, “The resolution of the Bitcoin experiment,” Medium, January 14, 2016 38 Tyler Durden, “Bitcoin Surges Almost 10% On Heavy China Buying Amid G-20 Chatter,” Zero Hedge,
September 4, 2016
21
G. Market Capitalization Graph
394041
H. Velocity Demonstration
Velocity is a measure of the frequency at which one unit of currency is transacted, and
days destroyed is its inverse. If velocity increases, more coins will be needed to support the same
level of transactional volume. If velocity decreases, price per coin will increase and the number
of days destroyed will also rise. This relationship is built into the supply and demand model, as
demonstrated in the table below. An estimate of the velocity elasticity of Bitcoin price obtained
from regression analysis shows that for every 100% increase in days destroyed, Bitcoin price
increases by approximately 110%. Although beneficial in driving the price of a currency, the
relationship between velocity and price can hurt in the long run. As demand for transactions rises
over time, a tension may be created between consumers who appreciate high velocity of
39 Tradeblock . https://tradeblock.com/markets/index/, 2016 40 Blockchain Info. https://blockchain.info/charts/total-Bitcoins?timespan=all, 2016 41 Kaiko. https://www.kaiko.com/statistics/market-capitalization?range=180d, 2016
22
transactions and miners who seek to maximize price. This latency issue has plagued Bitcoin for
the past few years.
Bibliography
Bovaird, Charles. “After Rising 1,000%, Uncertainty Clouds Ether’s Price Projections”.
CoinDesk, http://www.coindesk.com/1000-gains-Ether-Ether-price-future/, 2016
Bovaird, Charles. “Could Rising Interest Rates Threaten Bitcoin Prices?”.
http://www.coindesk.com/rising- interest-rates-threaten-Bitcoin-prices/, 2016
Coinmarketcap. http://coinmarketcap.com/, 2016
Data.Bitcoinity.Org. https://data.Bitcoinity.org/markets/volume/2y?c=e&r=week&t=a, 2016
Pete Rizzo, “IBM Director Declares 'We’re All in on Blockchain’,” Coin Desk, February 10,
2016
Justin Reynolds, “Move over, Bitcoin: Ether is about to change everything,” KNote
Robert Hackett, “Why J.P. Morgan Chase Is Building a Blockchain on Ether,” Fortune, October
4, 2016
Andrew Quentson, “CNN catches up with the CEO of CHBTC, one of China’s largest
exchanges,” CNN, August 23, 2016
Bailey Reutzel, “Preparing for a Bitcoin Hard Fork,” CoinDesk, September 14, 2016
Volatility behavior of BRIC capital markets in the 2008 international financial crisis,“ African
Journal of Business Management, June 14, 2014
Cryptocompare. https://www.cryptocompare.com/coins/eth/charts/USD , 2016
Wall Street Journal, The.
http://online.wsj.com/mdc/public/page/mdc_international.html?refresh=on, 2016
Blockchain Info. https://blockchain.info/charts/total-Bitcoins?timespan=all, 2016
Etherscan. https://Etherscan.io/, 2016
23
Bitcoinist.net. “What will happen to Bitcoin when the Economy Goes Bust?”.
http://insideBitcoins.com/news/what-will-happen-to-Bitcoin-when-the-economy-goes-
bust/35243, 2015
Samman, George. Coin Telegraph. “ China’s Stock Market Freefall a Boon for Bitcoin”.
https://cointelegraph.com/news/chinas-stock-market-freefall-a-boon-for-Bitcoin, 2015
Gertrude Chavez-Dreyfuss and Michael Connor, “All the rage a year ago, Bitcoin sputters as
adoption stalls,”
Reuters News, December 11, 2014, accessed on Factiva on June 16, 2015.
“What is Ether”. Coinbase. https://www.coinbase.com/what- is-Ether, 2016
“Bitcoin Venture Capital”, Coin Desk, September 2016
Blockchain Half. http://www.Bitcoinblockhalf.com/, 2016
Swanson, Tim. Great Wall of Numbers. “What did Bitcoin numbers look like in 2015?”
Great Wall of Numbers, “What did Bitcoin Movements Look Like in 2015,”
http://www.ofnumbers.com/2016/01/10/what-did-Bitcoin-movements- look- like- in-2015/, 2015
Burniske, White. “Bitcoin: Ringing the bell for a new asset class”, Ark Invest, 2016
Investopedia. http://www.investopedia.com/terms/s/sharperatio.asp
Bloomberg Markets. http://www.bloomberg.com/markets/rates-bonds/government-bonds/us
Pavel Ciaian, Miroslava Rajcaniova, d'Artis Kancs. “The Economics of Bitcoin Price
Formation”, Cornell University Library, 2014
Burniske, White. “Bitcoin: Ringing the bell for a new asset class”, Ark Invest, 2016
Blockchain Info. https://blockchain.info/charts/total-Bitcoins?timespan=all, 2016
"Global Market for Bitcoin Trading Volume, 2015." Market Share Reporter. Ed. Robert S.
Lazich and Virgil L. Burton, III. 26th ed. Farmington Hills, Mich.: Gale Group, 2016. 844 pp. 2
vols. Gale Directory Library. Gale. Middlebury Institute of Intl Studies. 17 Oct. 2016
<http://find.galegroup.com/gdl/start.do?prodId=GDL>.
Wall Street Journal, The.
http://online.wsj.com/mdc/public/page/mdc_international.html?refresh=on, 2016