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Exploring the dependencies among main cryptocurrency log‐returns: A hidden Markov model 探索主要加密货币日志回报之间的依赖关系:一个隐马尔可夫模型
IF 1.5 Q2 Economics, Econometrics and Finance Pub Date : 2021-11-10 DOI: 10.1111/ecno.12193
F. Pennoni, F. Bartolucci, Gianfranco Forte, Ferdinando Ametrano
A multivariate hidden Markov model is proposed to explain the price evolution of Bitcoin, Ethereum, Ripple, Litecoin, and Bitcoin Cash. The observed daily log-returns of these five major cryptocurrencies are modeled jointly. They are assumed to be correlated according to a variance-covariance matrix conditionally on a latent Markov process having a finite number of states. For the purpose of comparing states according to their volatility, we estimate specific variance-covariance matrix varying across states. Maximum likelihood estimation of the model parameters is carried out by the Expectation-Maximization algorithm. The hidden states represent different phases of the market identified through the estimated expected values and volatility of the log-returns. We reach interesting results in detecting these phases of the market and the implied transition dynamics. We also find evidence of structural medium term trend in the correlations of Bitcoin with the other cryptocurrencies.
提出了一个多元隐马尔可夫模型来解释比特币、以太坊、瑞波币、莱特币和比特币现金的价格演变。观察到的这五种主要加密货币的日对数回报是联合建模的。在一个状态数有限的隐马尔可夫过程上,假定它们根据方差-协方差矩阵有条件地相关。为了根据状态的波动性对状态进行比较,我们估计了跨状态变化的特定方差-协方差矩阵。通过期望最大化算法对模型参数进行极大似然估计。隐藏状态表示通过估计的期望值和对数收益的波动率确定的市场的不同阶段。在检测市场的这些阶段和隐含的过渡动态方面,我们得到了有趣的结果。我们还发现了比特币与其他加密货币相关性的结构性中期趋势的证据。
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引用次数: 3
Regulating cryptocurrencies checkpoints: Fighting a trench war with cavalry? 监管加密货币检查站:与骑兵打一场堑壕战?
IF 1.5 Q2 Economics, Econometrics and Finance Pub Date : 2021-11-09 DOI: 10.1111/ecno.12195
Giulio Soana
The rise of cryptocurrencies during the last decade has caused growing concerns among national and international regulators. One of the risks identified is that these instruments may constitute an innovative tool for criminals when laundering money. This risk has been confirmed by numerous recent cases which have underlined the criminogenic potential of crypto-currencies. Through the V antimoney laundering (AML) Directive, the European legislator has first regulated this emerging issue. This legislation extends the AML duties to two players of the cryptocurrencies market: exchangers and wallet providers. This choice, however, does not exploit the opportunities offered by cryptocurrencies and fails to provide a customized regulatory framework. By maintaining a traditional regulatory approach centered on intermediaries it misses the key innovation of blockchain technology: disintermediation. Compared with traditional online money flows, intermediaries are not necessary nor fundamental in the cryptocurrencies environment. Failing to adapt to this reality, the Directive is employing chivalry to fight a trench war. To guarantee the integrity of this market, the policymaker has to abandon the traditional intermediary ‐ centred approach in favor of a strategy that seizes the new opportunities offered by blockchain. This paper advocates for a shift from an individual ‐ centered approach to financial crime control to a transaction ‐ centered one.
在过去十年中,加密货币的兴起引起了国家和国际监管机构越来越多的担忧。已确定的风险之一是,这些工具可能成为犯罪分子洗钱时的创新工具。最近的许多案件都证实了这种风险,这些案件强调了加密货币的犯罪潜力。通过反洗钱(AML)指令,欧洲立法者首次规范了这一新兴问题。这项立法将“反洗钱”责任扩展到加密货币市场的两个参与者:交易所和钱包提供商。然而,这种选择没有利用加密货币提供的机会,也没有提供定制的监管框架。通过维持以中介机构为中心的传统监管方法,它错过了区块链技术的关键创新:去中介化。与传统的在线资金流动相比,中介机构在加密货币环境中既不是必要的,也不是根本的。由于未能适应这一现实,该指令正在利用骑士精神打一场堑壕战。为了保证这个市场的完整性,政策制定者必须放弃传统的以中介为中心的方法,转而采取一种抓住区块链提供的新机遇的策略。本文主张从以个人为中心的金融犯罪控制方法转向以交易为中心的金融犯罪控制方法。
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引用次数: 0
Regulating cryptocurrencies checkpoints: Fighting a trench war with cavalry? 监管加密货币检查站:与骑兵进行堑壕战?
IF 1.5 Q2 Economics, Econometrics and Finance Pub Date : 2021-11-09 DOI: 10.1111/ecno.12195
Giulio Soana

The rise of cryptocurrencies during the last decade has caused growing concerns among national and international regulators. One of the risks identified is that these instruments may constitute an innovative tool for criminals when laundering money. This risk has been confirmed by numerous recent cases which have underlined the criminogenic potential of cryptocurrencies. Through the V antimoney laundering (AML) Directive, the European legislator has first regulated this emerging issue. This legislation extends the AML duties to two players of the cryptocurrencies market: exchangers and wallet providers. This choice, however, does not exploit the opportunities offered by cryptocurrencies and fails to provide a customized regulatory framework. By maintaining a traditional regulatory approach centered on intermediaries it misses the key innovation of blockchain technology: disintermediation. Compared with traditional online money flows, intermediaries are not necessary nor fundamental in the cryptocurrencies environment. Failing to adapt to this reality, the Directive is employing chivalry to fight a trench war. To guarantee the integrity of this market, the policymaker has to abandon the traditional intermediary-centred approach in favor of a strategy that seizes the new opportunities offered by blockchain. This paper advocates for a shift from an individual-centered approach to financial crime control to a transaction-centered one.

加密货币在过去十年中的兴起引起了国家和国际监管机构越来越大的担忧。已查明的风险之一是,这些工具可能成为犯罪分子洗钱的创新工具。最近的许多案例都证实了这种风险,这些案例突显了加密货币的犯罪潜力。通过《反洗钱指令》,欧洲立法机构首先对这一新兴问题进行了监管。这项立法将反洗钱责任扩大到加密货币市场的两个参与者:交易所和钱包提供商。然而,这种选择没有利用加密货币提供的机会,也未能提供定制的监管框架。通过保持以中介机构为中心的传统监管方法,它错过了区块链技术的关键创新:去中介化。与传统的在线资金流相比,在加密货币环境中,中介既不是必要的,也不是基础。由于未能适应这一现实,该指令正在利用骑士精神进行堑壕战。为了保证这个市场的完整性,决策者必须放弃传统的以中介为中心的方法,转而采用抓住区块链提供的新机会的策略。本文主张从以个人为中心的金融犯罪控制方法向以交易为中心的方法转变。
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引用次数: 1
Is the value effect due to M&A deals? Evidence from the Italian stock market 价值效应是否源于并购交易?证据来自意大利股市
IF 1.5 Q2 Economics, Econometrics and Finance Pub Date : 2021-10-25 DOI: 10.1111/ecno.12194
A. Roma
This paper empirically characterises the value effect detected in the Italian stock market for the sample period 2000 – 2018 based on the value premium offered for the acquisition of a value stock. Bids on value stock (as opposed to bids on growth stocks) generate a large and statistically significant average return on the holding of the target in the deal window. Returns on target stocks for a bid make up to two ‐ thirds of the average return on the long side of the Fama and French high book ‐ to ‐ market minus low book ‐ to ‐ market (HML) portfolio. The other significant component of the average return of HML is due to short ‐ selling small ‐ growth stocks. As evidenced in previous literature, this is often difficult to implement from a practical point of view.
本文基于收购价值股提供的价值溢价,实证地表征了2000 - 2018年样本期间意大利股市中发现的价值效应。对价值股的出价(相对于对成长型股票的出价)在持有交易窗口中的目标股票时产生了巨大的、统计上显著的平均回报。在Fama和French高账面市值比减去低账面市值比(HML)投资组合的长线平均回报率中,出价目标股票的回报率高达三分之二。HML平均回报的另一个重要组成部分是由于卖空小型成长型股票。正如以前的文献所证明的那样,从实际的角度来看,这通常很难实现。
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引用次数: 0
Is the value effect due to M&A deals? Evidence from the Italian stock market 价值效应是由并购交易引起的吗?来自意大利股市的证据
IF 1.5 Q2 Economics, Econometrics and Finance Pub Date : 2021-10-25 DOI: 10.1111/ecno.12194
Antonio Roma

This paper empirically characterises the value effect detected in the Italian stock market for the sample period 2000–2018 based on the value premium offered for the acquisition of a value stock. Bids on value stock (as opposed to bids on growth stocks) generate a large and statistically significant average return on the holding of the target in the deal window. Returns on target stocks for a bid make up to two-thirds of the average return on the long side of the Fama and French high book-to-market minus low book-to-market (HML) portfolio. The other significant component of the average return of HML is due to short-selling small-growth stocks. As evidenced in previous literature, this is often difficult to implement from a practical point of view.

本文根据收购有价值股票的价值溢价,实证描述了2000-2008年样本期意大利股市中检测到的价值效应。对价值股的出价(与对成长股的出价相反)会在交易窗口中产生目标持有的巨大且具有统计意义的平均回报。竞购目标股票的回报率高达法马和法国高账面市值减去低账面市值(HML)投资组合长期平均回报率的三分之二。HML平均回报的另一个重要组成部分是卖空小型成长股。正如以前的文献所证明的那样,从实践的角度来看,这通常很难实现。
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引用次数: 0
Issue Information (ECNO) 发行信息(ECNO)
IF 1.5 Q2 Economics, Econometrics and Finance Pub Date : 2021-10-20 DOI: 10.1111/ecno.12171
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引用次数: 0
The hype of social capital in the finance-growth nexus 社会资本在金融增长关系中的炒作
IF 1.5 Q2 Economics, Econometrics and Finance Pub Date : 2021-08-04 DOI: 10.1111/ecno.12192
Ibrahim D. Raheem, Kazeem B. Ajide, Xuan V. Vo

The trilogy among economic growth, social capital (SC), and financial development is examined based on three hypotheses: first, SC is important in the finance-growth nexus. Second, there is a threshold effect of SC in the finance-growth nexus. Third, the SC-finance-growth trilogy depends on the countries' income level. Building data set for 70 countries, some interesting results were obtained: (i) the marginal effects of both SC and finance promote economic growth at higher levels; (ii) there is evidence of a threshold effect of SC, as finance enhances more growth when SC is below the threshold level; (iii) higher-income countries tend not to benefit from the SC-finance-growth trilogy. These results suggest that the influence of SC on growth trajectory is exaggerated in the literature. The study recommends that policymakers should pursue other sources of economic growth aside SC, while ensuring that the level of SC does not deteriorate.

经济增长、社会资本和金融发展之间的“三部曲”基于三个假设:第一,社会资本在金融-增长关系中起重要作用。其次,SC在金融-增长关系中存在门槛效应。第三,sc -金融-增长三部曲取决于各国的收入水平。构建70个国家的数据集,得到了一些有趣的结果:(1)金融和金融的边际效应在更高水平上促进经济增长;(ii)有证据表明SC存在阈值效应,因为当SC低于阈值水平时,金融对增长的促进作用更大;(三)高收入国家往往不会从sc -金融-增长三部曲中受益。这些结果表明,SC对生长轨迹的影响在文献中被夸大了。该研究建议,决策者应该在确保可持续发展水平不恶化的同时,追求除可持续发展以外的其他经济增长来源。
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引用次数: 1
Housing prices, volatility, and fundamental value 房价,波动性和基本价值
IF 1.5 Q2 Economics, Econometrics and Finance Pub Date : 2021-07-28 DOI: 10.1111/ecno.12191
Gian Maria Tomat

Asset pricing theories imply the existence of a long run relation between real housing prices and rents. The long run relation predicts, that in each time period real housing prices should be equal to the expected present discounted value of subsequent real rents. We use the annual time series for the 1991–2016 period in Italy as evidence regarding the present discounted value relation. Considering the stochastic properties of the aggregate time series, cointegration tests do not deliver conclusive results. In a dynamic vector autoregression model, real housing prices are shown to properly anticipate forthcoming real rents, though they exhibit excess volatility. In the sample period, movements of housing prices relatively to the long run relation predict successive real returns. While rational speculative bubbles might produce excess volatility of housing prices, other explanations are required for the predictability of real housing returns.

资产定价理论暗示实际房价和租金之间存在长期关系。长期关系预测,在每个时间段内,实际房价应该等于后续实际租金的预期贴现值。我们使用意大利1991-2016年期间的年度时间序列作为关于当前贴现值关系的证据。考虑到聚合时间序列的随机特性,协整检验不能提供结论性的结果。在动态向量自回归模型中,实际房价显示出正确预测即将到来的实际租金,尽管它们表现出过度波动。在样本期内,房价相对于长期关系的变动预测了连续的实际回报。虽然理性的投机泡沫可能会导致房价的过度波动,但实际房地产回报的可预测性还需要其他解释。
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引用次数: 0
Issue Information (ECNO) 发行信息(ECNO)
IF 1.5 Q2 Economics, Econometrics and Finance Pub Date : 2021-06-15 DOI: 10.1111/ecno.12170
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引用次数: 0
An industrial-organization approach to conventional and unconventional monetary policy 产业组织对传统和非常规货币政策的研究
IF 1.5 Q2 Economics, Econometrics and Finance Pub Date : 2021-06-14 DOI: 10.1111/ecno.12190
Hiroshi Gunji, Kenji Miyazaki

In this study, we use an industrial-organization model of the banking industry with money creation to examine the effect of conventional and unconventional monetary policy on the money stock. We consider quantitative monetary easing, qualitative monetary easing, and a negative interest rate on excess reserve balances as unconventional monetary policy. Our main findings are as follows. First, under a plausible setting of the parameters, the model with money creation supports the liquidity puzzle, in which tight monetary policy increases the money stock. The greater the number of banks, the stronger the effect. Second, quantitative monetary easing has no impact on money stocks, loans, deposits and bank holding assets other than government bonds. Third, the effect of qualitative monetary easing is ambiguous, but when the number of banks is sufficiently large, the effect is almost the same as the interest rate on reserves. Fourth, the effect of negative interest rate policy is quite complex.

在本研究中,我们使用一个包含货币创造的银行业产业组织模型来检验传统和非常规货币政策对货币存量的影响。我们认为定量货币宽松、定性货币宽松和超额准备金负利率都是非常规货币政策。我们的主要发现如下。首先,在合理的参数设置下,货币创造模型支持流动性难题,其中紧缩的货币政策增加了货币存量。银行数量越多,影响就越强。第二,量化货币宽松对货币存量、贷款、存款和银行持有的政府债券以外的资产没有影响。第三,定性货币宽松的效果是模糊的,但当银行数量足够大时,其效果与准备金利率几乎相同。第四,负利率政策的效果相当复杂。
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引用次数: 0
期刊
Economic Notes
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