The narrative of the rollercoaster day for cryptocurrency markets centers around the fears of stricter regulation in China (which might want to push its future CBDC). I shamlessy take the opportunity to advertise some of my prior work [1/n] #EconTwitter
ft.com/content/c4c29b…
In Borri and Shakhnov (FRL 2019) we look at a similar big shock when China de facto ordered the closing of cryptocurrency exchanges. [2/n]

Link to paper: sciencedirect.com/science/articl…
The shock had a huge effect on the global share of trading volume that took place on Chinese cryptocurrency exchanges: in a matter of months it went from 90% to less than 1% (caveat: part of it could have been wash trading) [3/n] Image
In the paper, we also document large international spillovers associated with the shock: a) volume moved rapidly to exchanges in other countries (for example, Korea and Japan); b) volume on Chinese p2p exchanges soared (these are harder to regulate) [4/n]
Our main takeaway is that changes in domestic regulation of cryptocurrency markets have strong international spillovers and that investors adapt quickly to the new regulatory environment [5/n]

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Nicola Borri

Nicola Borri Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @nicolaborri

29 Mar
I am very happy that my paper with @KShakhnov “Global Risk in Long-Term Sovereign Debt” has been accepted in @RevOfAssetPric #EconTwitter

Thread 1/n
Our paper is motivated by recent work by @HannoLustig et al. (AER 2019) who found that currency carry trade strategies with T-bonds are different from those with T-bills because local currency term premia offset currency premia 2/n
Results in Lustig et al. (AER 2019) are for advanced economies with no/low default risk and imply that the volatility of the permanent component of investors’ SDF must be equalized across countries 3/n
Read 15 tweets
28 Sep 20
New wp with @FSobbrio @francedrago @ChSantantonio #EconTwitter
Many countries used lockdowns to control the pandemics. We provide quantitative estimates of benefits in terms of reduction of mortality by #COVID19👇
tinyurl.com/y5u6elxs
(also @cepr_org DP15317) 1/n
We focus on Italy -- one of the first country struck by #COVIDー19 -- where the lockdown design offers a source of exogenous variation in the intensity of the lockdown at a granular level 2/n
In the second (economic) lockdown (March 22) the Italian government defined a detailed list of essential economic activities. All other activities were either suspended or allowed to operate only remotely 3/n
Read 18 tweets
13 Sep 20
I am very happy to share that my paper "Optimal Taxation with Home Ownership and Wealth Inequality" with Pietro Reichlin has been now accepted for publication at the @RevEconDyn [1/n] #EconTwitter Image
In the paper we consider optimal taxation in a model with wealth-poor and wealth-rich households, where wealth derives from business capital and home ownership, and investigate the consequences of a rising wealth inequality at steady state on these tax rates [2/n]
We find that the optimal tax structure includes some taxation of labor, zero taxation of financial and business capital, and critically a housing wealth tax on the wealth-rich households and a housing subsidy on the wealth-poor households [3/n]
Read 8 tweets
10 Sep 20
My paper with K. Shakhnov on Regulation spillovers across cryptocurrency markets is now available on FRL at this link authors.elsevier.com/c/1bjLs5VD4Kcw… (with 50 days free access) #EconTwitter [thread 1/n]
In this paper we look at the unprecedented drop in trading volume on the Chinese cryprocurrency market after a significant regulatory change that de facto banned bitcoin in early 2017 in China [thread 2/n] Image
We find large spillovers of this regulatory shock on other cryptocurrency markets: 1) we observe a large increase in trading volume for bitcoin vs. Korean won, Japanese yen and U.S. dollars; ... [3/n]
Read 6 tweets
10 Jun 20
1/n A new version of my paper with Kirill Shakhnov on "Cryptomarket Discounts" is now available at: ssrn.com/abstract=31243… #EconTwitter [short thread] Image
2/n Investors buy #bitcoin on a multitude of exchanges, located in different countries, and against different fiat and cryptocurrencies.
3/n Their distribution is leptokurtic, with negative skewness for fiat pairs, and a standard deviation of 4.5%. Image
Read 7 tweets
23 May 20
My #COVIDー19 update for #Italy two weeks after relaxation #lockdown [thread]
1/ Deaths: 119 deaths today, more than 32K since the beginning of the pandemic according to official estimates. But rate is slowly but constantly approaching zero. Image
2/ 669 new cases today. Combining this number with deaths and recoveries, the total number of active cases today drops by 1570 units and is currently around 57K. Also the rate of new cases is on stable downward path. Image
Read 8 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!

Follow Us on Twitter!

:(