• Non ci sono risultati.

Trust  in  crypto-­‐currencies?

N/A
N/A
Protected

Academic year: 2022

Condividi "Trust  in  crypto-­‐currencies?"

Copied!
77
0
0

Testo completo

(1)

Trust  in  crypto-­‐currencies?  

 

Jack  Birner  

University  of  Trento  

(2)

Trust  in  crypto-­‐currencies?  

What  is  trust  in  money  based  on?  

(3)

Trust  in  crypto-­‐currencies?  

What  is  money?  

 

(4)

Trust  in  crypto-­‐currencies?  

For  an  answer,  turn  to  economics!  

 

(5)

Trust  in  crypto-­‐currencies?  

For  an  answer,  turn  to  economics?  

 

(6)

Trust  in  crypto-­‐currencies?  

Standard  (macro)economics:    

FuncBons  of  money.  

(7)

Trust  in  crypto-­‐currencies?  

Standard  (macro)economics:    

FuncBons  of  money:  

-­‐  Medium  of  exchange   -­‐  Unit  of  account  

-­‐  Store  of  value  

(8)

Trust  in  crypto-­‐currencies?  

Standard  (macro)economics:    

FuncBons  of  money:  

-­‐  Medium  of  exchange   -­‐  Unit  of  account  

-­‐  Store  of  value  

-­‐  Means  of  deferred  payment  

(9)

Trust  in  crypto-­‐currencies?  

Related  quesBon:  

What  is  the  funcBon  of  banks?  

(10)

Trust  in  crypto-­‐currencies?  

 

Banks  invent  new  forms  of  money.  

(11)

Trust  in  crypto-­‐currencies?  

 

But  so  do  non-­‐banks:  shadow  banking  system.  

(12)

Trust  in  crypto-­‐currencies?  

 

Banking  system,  new  forms  of  money,  shadow   banking  system:  compeBBon,  supervision,  trust.  

(13)

Trust  in  crypto-­‐currencies?  

Standard  (macro)economics:    

Arbitrage  between  money  as  medium  of  

exchange  and  as  store  of  value  (Hicks  1935,   porRolio  approach).  

(14)

Trust  in  crypto-­‐currencies?  

Standard  (macro)economics:    

Arbitrage  between  money  as  medium  of  

exchange  and  as  store  of  value  (Hicks  1935,   porRolio  approach).    

PorRolio  decisions  both  influence  and  are   influenced  by  inflaBon/deflaBon.  

(15)

Trust  in  crypto-­‐currencies?  

Standard  (macro)economics:    

Effects  of  inflaBon  and  deflaBon:  

-­‐  distribuBonal:  money  as  store  of  value  

-­‐  transacBonal:  money  as  means  of  exchange   and  unit  of  account    

 

(16)

Trust  in  crypto-­‐currencies?  

Bitcoin:  

-­‐  deflaBonary  bias    

(17)

Trust  in  crypto-­‐currencies?  

Bitcoin:  

-­‐  deflaBonary  bias:  sBmulates  hoarding    

(18)

Trust  in  crypto-­‐currencies?  

Bitcoin:  

-­‐  deflaBonary  bias:  sBmulates  hoarding   -­‐  high  volaBlity  

(19)

Trust  in  crypto-­‐currencies?  

Bitcoin:  

-­‐  deflaBonary  bias:  sBmulates  hoarding   -­‐  high  volaBlity:  due  to  hoarding  

(20)

Trust  in  crypto-­‐currencies?  

Bitcoin’s  volaBlity  is  bounded  on  the  down  side   by  the  cost  of  mining,  which  is  technology  

dependent.  

(21)

Trust  in  crypto-­‐currencies?  

Bitcoin’s  volaBlity  is  bounded  on  the  down  side   by  the  cost  of  mining,  which  is  technology  

dependent.  

Hoarding  may  be  discouraged  by  incorporaBng   an  inflaBonary  bias  (demurrage:  deliberately  

reducing  the  value  of  stock  of  money):  Freicoin.  

(22)

Trust  in  crypto-­‐currencies?  

Trust  in  crypto-­‐currencies  depends  on  these  and   similar  features,  balanced  against  safety  

aspects.  

(23)

Trust  in  crypto-­‐currencies?  

Trust  in  crypto-­‐currencies  also  depends  on  the   ease  with  which  they  can  be  converted  into  

tradiBonal  currencies.  

(24)

Trust  in  crypto-­‐currencies?  

Trust  in  crypto-­‐currencies  also  depends  on  the   ease  with  which  they  can  be  converted  into  

tradiBonal  currencies:  thus  they  benefit  from   the  trust  in  tradiBonal  currencies.  

(25)

Trust  in  crypto-­‐currencies?  

Trust  in  crypto-­‐currencies  also  depends  on  the   ease  with  which  they  can  be  converted  into  

tradiBonal  currencies:  thus  they  benefit  from   the  trust  in  tradiBonal  currencies,  while  being   perceived  as  an  alternaBve  in  case  tradiBonal   currencies  are  less  trusted.  

(26)

Trust  in  crypto-­‐currencies?  

Trust  in  crypto-­‐currencies  also  depends  on  the   ease  with  which  they  can  be  converted  into  

tradiBonal  currencies:  thus  they  benefit  from   the  trust  in  tradiBonal  currencies,  while  being   perceived  as  an  alternaBve  in  case  tradiBonal   currencies  are  less  trusted.  An  asymmetrical   advantage!  

(27)

Trust  in  crypto-­‐currencies?  

Advanced  (micro)economics:    

(28)

Trust  in  crypto-­‐currencies?  

Advanced  (micro)economics:    

General  Equilibrium  Theory  (GET)  

(29)

Trust  in  crypto-­‐currencies?  

Advanced  (micro)economics:    

General  Equilibrium  Theory  (GET),  

or  rather,  as  money  involves  Bme  (store  of   value,  means  of  deferred  payment):  

Intertemporal  General  Equilibrium  Theory  (IGET)  

(30)

Trust  in  crypto-­‐currencies?  

IGET  is  the  most  sophisBcated  theory  in  all  of   economics.  

 

(31)

Trust  in  crypto-­‐currencies?  

IGET,  some  presupposiBons:  

-­‐  decision  makers  have  full  informaBon   -­‐  instantaneous  adaptaBon  to  changed  

circumstances   -­‐  etc.  

 

(32)

Trust  in  crypto-­‐currencies?  

IGET,  some  presupposiBons:  

-­‐  decision  makers  have  full  informaBon   -­‐  instantaneous  adaptaBon  to  changed  

circumstances   -­‐  etc.  

A  perfect  world.  

 

(33)

Trust  in  crypto-­‐currencies?  

IGET  cannot  account  for  money  except  as  a  unit   of  account.  Even  the  Central  Banks’  general  

equilibrium  models  have  no  money  in  it!  

 

(34)

Trust  in  crypto-­‐currencies?  

Why  can’t  IGET  account  for  money  in  the   funcBons  that  ma]er?  

(35)

Trust  in  crypto-­‐currencies?  

Money  is  about  social  relaBons  (exchange!)  

(36)

Trust  in  crypto-­‐currencies?  

Money  is  about  social  relaBons,  and  these  are   rarely  perfect  or  fricBonless.  

(37)

Trust  in  crypto-­‐currencies?  

Money  is  about  social  relaBons,  and  these  are   rarely  perfect  or  fricBonless.  

In  addiBon,  IGET  does  not  contain  a  model  of  

the  structure  of  communicaBon  and  interacBon.  

(38)

Trust  in  crypto-­‐currencies?  

This  leaves  IGET  causally  incomplete.  

(39)

Trust  in  crypto-­‐currencies?  

This  leaves  IGET  causally  incomplete,  unless  a   model  of  the  network  of  interacBon  and  

communicaBon  between  agents  is  added  to  it   (Alan  Kirman*).  

   

*Kirman  used  Agent  Based  Models  for  studying   interacBon  networks.  

(40)

Trust  in  crypto-­‐currencies?  

In  order  for  IGET  to  be  able  to  deal  with  money,   that  network  model  has  to  allow  for  

imperfec,ons  in  the  interacBons  between   agents.  

(41)

Trust  in  crypto-­‐currencies?  

Ronald  Coase:  transacBon  costs,  or  costs  of   using  the  price  mechanism.  

(42)

Trust  in  crypto-­‐currencies?  

Ronald  Coase:  transacBon  costs,  or  costs  of   using  the  price  mechanism:  

-­‐  search  and  informaBon  costs   -­‐  bargaining  costs  

-­‐  costs  of  monitoring  and  enforcing  contracts  

(43)

Trust  in  crypto-­‐currencies?  

IGET  describes  a  barter  economy  (goods   exchanged  against  goods).  

(44)

Trust  in  crypto-­‐currencies?  

IGET  describes  a  barter  economy  (goods  

exchanged  against  goods)  and  barter  involves   very  high  search,  informaBon  and  bargaining   costs.  

(45)

Trust  in  crypto-­‐currencies?  

IGET  describes  a  barter  economy  (goods  

exchanged  against  goods)  and  barter  involves   very  high  search,  informaBon  and  bargaining   costs.  Money  reduces  these  costs.  

(46)

Trust  in  crypto-­‐currencies?  

So,  money  is  a  lubricant  of  the  economy.  

(47)

Trust  in  crypto-­‐currencies?  

Different  quesBon:  Is  money  a  good?  

(48)

Trust  in  crypto-­‐currencies?  

It  is  not  in  the  ordinary  sense:  you  cannot  eat   money  or  dress  in  it.  

(49)

Trust  in  crypto-­‐currencies?  

But  what  if  money  were  a  good?  

(50)

Trust  in  crypto-­‐currencies?  

But  what  if  money  were  a  good?  

Goods  are  what  economists  are  relaBvely  good   at!  

 

(51)

Trust  in  crypto-­‐currencies?  

Different  meaning  of  good:  opposite  of  bad.  

(52)

Trust  in  crypto-­‐currencies?  

Different  meaning  of  good:  opposite  of  bad.  

Good  money  vs.  bad  money.  

(53)

Giuseppe  Boerio,  Dizionario  del  diale,o  veneto,   Andrea  San7ni  e  figlio,  Venezia  1829  

 

(54)

Trust  in  crypto-­‐currencies?  

The  financial  crisis  made  us  discover  that   money,  instead  of  lubricaBng  the  system  of   economic  transacBons,  obstructed  it:  bad   money  as  a  bad.  

(55)

Trust  in  crypto-­‐currencies?  

The  financial  crisis  made  us  discover  that   money,  instead  of  lubricaBng  the  system  of   economic  transacBons,  obstructed  it:  bad  

money  as  a  bad,  which,  moreover,  affects  us  all:  

a  collecBve  bad.  

(56)

Trust  in  crypto-­‐currencies?  

But  if  bad  money  is  a  collecBve  bad,  isn’t  good   money  a  collecBve  (or  public)  good?  

(57)

excludable   non  excludable   rivalrous  or  

subtractable   PRIVATE  GOODS      

  food,     clothes,     bicycles  

COMMON  POOL   GOODS  or   RESOURCES  

fish  stock,     clean  water,    

crude  oil   non  rivalrous/  

subtractable  

CLUB  GOODS     theater  shows,   private  parking  

lots  

PUBLIC  GOODS     naBonal  defence,    

lighthouses  

How economists distinguish goods

(58)

Trust  in  crypto-­‐currencies?  

Money  is  heterogeneous:  many  levels  of  interacBon:  

•  individual  –  individual  

•  individual  –  bank  

•  bank  –  bank  

•  bank  –  naBonal  central  bank  (CB)  

•  ECB  (Fed)  –  CBs  of  EMU  member  countries  (federal  states)  

•  naBonal  CBs  –  naBonal  governments  

•  ECB  –  naBonal  EMU  state  governments  

•  government  –  government  

•  CB  –  internaBonal  monetary  insBtuBons  

•  internaBonal  monetary  insBtuBons  –  naBonal  EMU-­‐state   governments  

•  etc.  

(59)

Trust  in  crypto-­‐currencies?  

According  to  the  level  of  interacBon  at  which  it   plays  a  role,  money  may  have  the  characterisBcs   of  a  private,  club,  common  pool,  or  public  good.  

(60)

excludable non-excludable COMMON POOL GOODS OR RESOURCES CLUB GOODS PUBLIC GOODS

LEVEL OF INTERACTION

individual - individual international organization (inter)national organization

(61)

excludable non-excludable COMMON POOL GOODS OR RESOURCES CLUB GOODS PUBLIC GOODS

LEVEL OF INTERACTION

individual - individual international organization (inter)national organization

(62)

excludable non-excludable COMMON POOL GOODS OR RESOURCES CLUB GOODS PUBLIC GOODS

LEVEL OF INTERACTION

individual - individual international organization (inter)national organization

(63)

excludable non-excludable COMMON POOL GOODS OR RESOURCES CLUB GOODS PUBLIC GOODS

LEVEL OF INTERACTION

individual - individual international organization (inter)national organization

(64)

Trust  in  crypto-­‐currencies?  

Bitcoin:  interacBon  between  individuals.  That   suggests  it  is  a  private  good.  

(65)

Trust  in  crypto-­‐currencies?  

Bitcoin:  interacBon  between  individuals.  That   suggests  it  is  a  private  good.  

What  about  other  (including  future)  crypto-­‐

currencies?  

(66)

Trust  in  crypto-­‐currencies?  

By  becoming  involved  in  other  levels  of  

interacBon,  crypto-­‐currencies  may  come  to  

share  the  characterisBcs  of  club  goods,  common   pool  goods,  or  perhaps  even  public  goods.  

(67)

Trust  in  crypto-­‐currencies?  

All  this  leaves  the  quesBon  what  the  trust  in   money  in  general  and  in  crypto-­‐currencies  in   parBcular  is  based  on.  

(68)

Trust  in  crypto-­‐currencies?  

If  money  is  considered  as  a  common  pool  good,   then  we  can  look  for  an  answer  in  the  work  of   Elinor  Ostrom  (Nobel  prize  in  economics  2009):  

stakeholdership,  systems  of  governance,   property  rights.  

(69)

Trust  in  crypto-­‐currencies?  

Ostrom  disBnguishes  different  kinds  of  property   rights  or  stakeholdership:  

-­‐  access  

-­‐  withdrawal   -­‐  management   -­‐  exclusion  

-­‐  alienaBon    

(70)

Trust  in  crypto-­‐currencies?  

Various  mixes  of  the  rights  to  accede,  withdraw,   manage,  exclude  and  alienate  define  different   governance  structures.  

 

(71)

Trust  in  crypto-­‐currencies?  

Various  mixes  of  the  rights  to  accede,  withdraw,   manage,  exclude  and  alienate  define  different   governance  structures,  and  these  co-­‐determine   trust.  

(72)

Trust  in  crypto-­‐currencies?  

Various  mixes  of  the  rights  to  accede,  withdraw,   manage,  exclude  and  alienate  define  different   governance  structures,  and  these  co-­‐determine   trust.  

That  applies  to  tradiBonal  currencies  (or  rather,   payment  technologies  –  Curzio  Giannini)  but  

also  to  crypto-­‐currencies.  

(73)

Trust  in  crypto-­‐currencies?  

“Network  effects”  are  crucial  in  the  acceptance   of,  and  trust  in  money.  

 

(74)

Trust  in  crypto-­‐currencies?  

“Network  effects”  are  crucial  in  the  acceptance   of,  and  trust  in  money.  They  are  the  opposite  of   the  tragedy  of  the  commons  (“comedy  -­‐  or  

opulence  -­‐  of  the  commons”).  

 

(75)

Trust  in  crypto-­‐currencies?  

Governance,  mixes  of  property  rights,  network   effects:  suggest  we  reconsider  if  BTC  and  other   crypto-­‐currencies  are  private  goods,  or  rather   have  more  of  the  characterisBcs  of  club  goods,   common  pool  goods,  or  perhaps  even  collecBve   goods.  

(76)

Trust  in  crypto-­‐currencies?  

In  economics,  the  argument  what  determines   trust  in  currencies  is  waiBng  to  be  further  

developed.  

(77)

Trust  in  crypto-­‐currencies?  

What  does  sociology  have  to  say  on  trust?  

Riferimenti

Documenti correlati

Applied to our experimental game, under complete information, the focal point reasoning singles out an investment profile in which the share 1 and the share 50

Roll angular velocities during shimmy recorded by IMUs on front and rear frames with a band-pass filter to consider only wobble oscillations. Roll and yaw angular velocities

Since the dynamics of publicly observable and secret contribution levels as well as their relation with actual decisions may vary with the rematching procedure, we distinguish between

The focus on the interrelationships in the automotive global value chain in four countries (China, Japan, Germany and Italy) has made clear the need to look at the

I casi di espulsione dal M5S mescolano le due questioni affrontate fin qui: da una parte, vi è una piattaforma che costruisce l’organizzazione del partito e la comunità di

Il 19 febbraio 1595, per iniziativa del provveditore Giulio Cesa- re Nogarola, venne proposta nel consiglio del comune di Verona la ristrutturazione della sala del palazzo della

Plasmonic colorimetric sensors based on etching and growth of noble metal nanoparticles: Strategies and applications.. Biomolecular coronas provide the biological identity

Perché, non trattandosi in questa eccelsa corte, eziandio nei privati ragionamenti, se non di cose alte e degne veramente di gran principe, io ho raccolto in que- ste poche