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Market Frictions and Pass-Through in an Interconnected Global Economy
Market Frictions and Pass-Through in an Interconnected Global Economy
Market Frictions and Pass-Through in an Interconnected Global Economy

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자료유형  
 학위논문 서양
최종처리일시  
20260202104718
ISBN  
9798293825905
DDC  
658
저자명  
Chen, Wentong.
서명/저자  
Market Frictions and Pass-Through in an Interconnected Global Economy
발행사항  
[Sl] : Cornell University, 2025
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2025
형태사항  
291 p
주기사항  
Source: Dissertations Abstracts International, Volume: 87-03, Section: A.
주기사항  
Advisor: Prasad, Eswar.
학위논문주기  
Thesis (Ph.D.)--Cornell University, 2025.
초록/해제  
요약My research lies at the intersection of international finance and macroeconomics, focusing on the pass-through of monetary and foreign exchange shocks and policies to different markets and how price and quantity dynamics in these markets interact with (and have feedback effects on) each other. My research aims to formally model the frictions in and spillovers between these markets and to characterize the underlying mechanisms in environments with various forms of market incompleteness and frictions. In the sections that follow, I discuss three chapters of my ongoing projects in this dissertation.In the first chapter, I uncover the substantial foreign exchange risks faced by U.S. firms, despite most international trade being invoiced in U.S. dollars. These risks arise due to spillovers through the production network and fluctuations in foreign demand when exchange rates change. Using new hand-collected data from firms' annual reports, I document that U.S. firms actively hedge foreign exchange risks using financial derivatives. I develop the first model of hedging in a production network and show that hedging by upstream or downstream firms can stabilize a firm's performance due to shared risk exposures. This positive spillover effect operates through firms' financial constraints: hedging stabilizes firms' borrowing costs and the prices they charge connected firms. Exploiting two major USD-Euro exchange rate swings, I find that hedging by connected firms is as effective as a firm's own hedging in stabilizing performance. Additionally, firms at the extremities of the production and trade network are more likely to hedge. Calibrating the model to U.S. data, I show that these spillover effects boost aggregate output and reduce prices.In the second chapter (coauthored with Isha Agarwal and Eswar Prasad), we offer the first empirical evidence on how domestic media-driven narratives about a destination country shape cross-border institutional investment flows. Leveraging natural language processing techniques on over a million articles from 38 newspapers, we construct sentiment and risk indices based on media narratives about China across 15 economies between 2007 and 2022. Our findings reveal significant cross-country variation in these narratives, driven by differences in both topic coverage and within-topic sentiment. Crucially, media narratives significantly influence portfolio flows, even after controlling for macroeconomic and financial fundamentals. The impact of media narratives on flows is smaller for investors with greater familiarity or private information about China and more substantial during periods of heightened uncertainty. Political and environmental narratives influence investment flows as much as, or more than, economic narratives. These findings suggest that media narratives have a greater influence on investment flows when reliable market data is scarce or challenging to interpret. We also find that media narratives have an asymmetric impact on investment, with investors reacting more sharply to negative narratives than positive ones. These results underscore the important role of media-driven narratives in shaping global capital flows, particularly in an era of intensifying geopolitical and economic uncertainty.In the third chapter, I study how reserve tiering-where different tiers of reserves earn different interest rates-affects monetary policy transmission to the loan market. Using data from Japan, I find that reserve tiering leads to an in crease in low-interest loans and a decline in medium-interest loans. These shifts are driven by heterogeneity in banks' exposure to the tiered system: larger and more liquid banks hold more reserves at negative rates, while non-depository institutions effectively face negative rates. This allows small banks to obtain cheaper interbank funding from larger banks and non-depository institutions, enabling them to issue lower-rate loans. Meanwhile, larger banks, holding a greater share of negative-rate reserves, respond by taking on more risk in their lending. I develop a heterogeneous agent model linking interbank and loan markets, which identifies four transmission channels: liquidity, interest rate, bank interest margin, and loan risk. My analysis suggests that, to curb over-heating, central banks should adopt tiering schemes with ascending rates-an approach that is more effective, less distortionary, and more stabilizing than flat-rate alternatives.
일반주제명  
Finance
키워드  
Exchange rate
키워드  
Financial frictions
키워드  
Global capital flows
키워드  
International finance
키워드  
Macroeconomics
키워드  
Risk management
기타저자  
Cornell University Economics
기본자료저록  
Dissertations Abstracts International. 87-03A.
전자적 위치 및 접속  
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MARC

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■1001  ▼aChen,  Wentong.▼0(orcid)0000-0003-1224-3993
■24510▼aMarket  Frictions  and  Pass-Through  in  an  Interconnected  Global  Economy
■260    ▼a[Sl]▼bCornell  University▼c2025
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2025
■300    ▼a291  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  87-03,  Section:  A.
■500    ▼aAdvisor:  Prasad,  Eswar.
■5021  ▼aThesis  (Ph.D.)--Cornell  University,  2025.
■520    ▼aMy  research  lies  at  the  intersection  of  international  finance  and  macroeconomics,  focusing  on  the  pass-through  of  monetary  and  foreign  exchange  shocks  and  policies  to  different  markets  and  how  price  and  quantity  dynamics  in  these  markets  interact  with  (and  have  feedback  effects  on)  each  other.  My  research  aims  to  formally  model  the  frictions  in  and  spillovers  between  these  markets  and  to  characterize  the  underlying  mechanisms  in  environments  with  various  forms  of  market  incompleteness  and  frictions.  In  the  sections  that  follow,  I  discuss  three  chapters  of  my  ongoing  projects  in  this  dissertation.In  the  first  chapter,  I  uncover  the  substantial  foreign  exchange  risks  faced  by  U.S.  firms,  despite  most  international  trade  being  invoiced  in  U.S.  dollars.  These  risks  arise  due  to  spillovers  through  the  production  network  and  fluctuations  in  foreign  demand  when  exchange  rates  change.  Using  new  hand-collected  data  from  firms'  annual  reports,  I  document  that  U.S.  firms  actively  hedge  foreign  exchange  risks  using  financial  derivatives.  I  develop  the  first  model  of  hedging  in  a  production  network  and  show  that  hedging  by  upstream  or  downstream  firms  can  stabilize  a  firm's  performance  due  to  shared  risk  exposures.  This  positive  spillover  effect  operates  through  firms'  financial  constraints:  hedging  stabilizes  firms'  borrowing  costs  and  the  prices  they  charge  connected  firms.  Exploiting  two  major  USD-Euro  exchange  rate  swings,  I  find  that  hedging  by  connected  firms  is  as  effective  as  a  firm's  own  hedging  in  stabilizing  performance.  Additionally,  firms  at  the  extremities  of  the  production  and  trade  network  are  more  likely  to  hedge.  Calibrating  the  model  to  U.S.  data,  I  show  that  these  spillover  effects  boost  aggregate  output  and  reduce  prices.In  the  second  chapter  (coauthored  with  Isha  Agarwal  and  Eswar  Prasad),  we  offer  the  first  empirical  evidence  on  how  domestic  media-driven  narratives  about  a  destination  country  shape  cross-border  institutional  investment  flows.  Leveraging  natural  language  processing  techniques  on  over  a  million  articles  from  38  newspapers,  we  construct  sentiment  and  risk  indices  based  on  media  narratives  about  China  across  15  economies  between  2007  and  2022.  Our  findings  reveal  significant  cross-country  variation  in  these  narratives,  driven  by  differences  in  both  topic  coverage  and  within-topic  sentiment.  Crucially,  media  narratives  significantly  influence  portfolio  flows,  even  after  controlling  for  macroeconomic  and  financial  fundamentals.  The  impact  of  media  narratives  on  flows  is  smaller  for  investors  with  greater  familiarity  or  private  information  about  China  and  more  substantial  during  periods  of  heightened  uncertainty.  Political  and  environmental  narratives  influence  investment  flows  as  much  as,  or  more  than,  economic  narratives.  These  findings  suggest  that  media  narratives  have  a  greater  influence  on  investment  flows  when  reliable  market  data  is  scarce  or  challenging  to  interpret.  We  also  find  that  media  narratives  have  an  asymmetric  impact  on  investment,  with  investors  reacting  more  sharply  to  negative  narratives  than  positive  ones.  These  results  underscore  the  important  role  of  media-driven  narratives  in  shaping  global  capital  flows,  particularly  in  an  era  of  intensifying  geopolitical  and  economic  uncertainty.In  the  third  chapter,  I  study  how  reserve  tiering-where  different  tiers  of  reserves  earn  different  interest  rates-affects  monetary  policy  transmission  to  the  loan  market.  Using  data  from  Japan,  I  find  that  reserve  tiering  leads  to  an  in  crease  in  low-interest  loans  and  a  decline  in  medium-interest  loans.  These  shifts  are  driven  by  heterogeneity  in  banks'  exposure  to  the  tiered  system:  larger  and  more  liquid  banks  hold  more  reserves  at  negative  rates,  while  non-depository  institutions  effectively  face  negative  rates.  This  allows  small  banks  to  obtain  cheaper  interbank  funding  from  larger  banks  and  non-depository  institutions,  enabling  them  to  issue  lower-rate  loans.  Meanwhile,  larger  banks,  holding  a  greater  share  of  negative-rate  reserves,  respond  by  taking  on  more  risk  in  their  lending.  I  develop  a  heterogeneous  agent  model  linking  interbank  and  loan  markets,  which  identifies  four  transmission  channels:  liquidity,  interest  rate,  bank  interest  margin,  and  loan  risk.  My  analysis  suggests  that,  to  curb  over-heating,  central  banks  should  adopt  tiering  schemes  with  ascending  rates-an  approach  that  is  more  effective,  less  distortionary,  and  more  stabilizing  than  flat-rate  alternatives.
■590    ▼aSchool  code:  0058.
■650  4▼aFinance
■653    ▼aExchange  rate
■653    ▼aFinancial  frictions
■653    ▼aGlobal  capital  flows
■653    ▼aInternational  finance
■653    ▼aMacroeconomics
■653    ▼aRisk  management
■690    ▼a0501
■690    ▼a0508
■690    ▼a0601
■71020▼aCornell  University▼bEconomics.
■7730  ▼tDissertations  Abstracts  International▼g87-03A.
■790    ▼a0058
■791    ▼aPh.D.
■792    ▼a2025
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17358554▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

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