<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Schneider, Paul</dc:contributor>
  <dc:creator>Zurowski, Wojciech</dc:creator>
  <dc:date>2019-05-23</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">My PhD thesis consists of three papers which study how interest rate products' prices react to both the central bank's  policy goals and communication. As tool I make use of various econometric techniques such as affine models, general  method of moments or Haar like filtering. The first chapter studies government bond excess term premia. I show that  their predictability is driven by monetary policy. The long term impact of the central bank actions on risk free bonds  returns are examined via a study of one year holding period for bond excess returns. The analysis demonstrates that  the premia predictability increases for the bond maturities closer to respective central bank policy goals. I decompose  macroeconomic data into transitory and persistent components of various frequencies to model monetary policy. I  accommodate two effects in the single MP factor: slow persistent long term relation and short exogenous shocks, which  produce a significant predictive power of bond excess returns. The second chapter focuses on the direct impact of  Federal Open Market Committee meetings and policy announcements on the corporate bond market. In the case of  FOMC announcements we obtain the probability of a good state, using 30-day Fed Funds futures transaction prices.  We find that market makers protect themselves by adjusting the bid and offer prices depending on this probability.  Additionally, we document very different behaviour across buy and sell sides in relation to mid prices. The last chapter  shows how future monetary policy uncertainty, measured as the 30 day Fed funds futures signal to microstructure noise  ratio, variation throughout a FOMC cycle (time period between two consecutive and scheduled meetings) leads to  changes in returns and liquidity of the US corporate bond market. It shows that the FOMC communication generates  two distinct corporate bond return regimes. I advocate that the cycle pattern, large and statistically significant excess  bond returns only in even weeks, can be partially explained by a substantial difference in transaction costs between the  two periods. My study demonstrates that the excess returns patterns coincide with liquidity regimes. I document that  they are related to uncertainty about future monetary policy and describe a mechanism which can explain the empirical  facts.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://localhost:5000/ark:/12658/srd1318968</dc:identifier>
  <dc:identifier>https://susi.usi.ch/global/documents/318968</dc:identifier>
  <dc:identifier>https://susi.usi.ch/documents/318968/files/2019ECO002.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/urn/urn:nbn:ch:rero-006-118386</dc:relation>
  <dc:relation>info:eu-repo/semantics/altIdentifier/ark/12658/srd1318968</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>License undefined</dc:rights>
  <dc:subject xmlns:ns1="xml" ns1:lang="en">Bond market</dc:subject>
  <dc:subject xmlns:ns2="xml" ns2:lang="en">Monetary policy</dc:subject>
  <dc:subject xmlns:ns3="xml" ns3:lang="en">30 day Fed funds futures</dc:subject>
  <dc:subject xmlns:ns4="xml" ns4:lang="en">Liquidity</dc:subject>
  <dc:subject xmlns:ns5="xml" ns5:lang="en">Inventory risk</dc:subject>
  <dc:subject>info:eu-repo/classification/udc/33</dc:subject>
  <dc:title xmlns:ns6="xml" ns6:lang="en">Monetary policy and interest rate products</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_db06</dc:type>
</oai_dc:dc>
