Loading…
Challenges in macro-finance modeling
This article discusses various challenges in the specification and implementation of 'macro-finance' models in which macroeconomic variables and term structure variables are modeled together in a no-arbitrage framework. The author classifies macro-finance models into pure latent-factor mod...
Saved in:
Published in: | Review - Federal Reserve Bank of St. Louis 2009-09, Vol.91 (5(2)), p.519-544 |
---|---|
Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c396t-a754b24e49baace9c9028a2bc2cd61bb33729b1a6ea6c12809da18d1908c69023 |
---|---|
cites | |
container_end_page | 544 |
container_issue | 5(2) |
container_start_page | 519 |
container_title | Review - Federal Reserve Bank of St. Louis |
container_volume | 91 |
creator | Kim, Don H |
description | This article discusses various challenges in the specification and implementation of 'macro-finance' models in which macroeconomic variables and term structure variables are modeled together in a no-arbitrage framework. The author classifies macro-finance models into pure latent-factor models (`internal basis models') and models that have observed macroeconomic variables as state variables (`external basis models') and examines the underlying assumptions behind these models. Particular attention is paid to the issue of unspanned short-run fluctuations in macro-economic variables and their potentially adverse effect on the specification of external basis models. The author also discusses the challenge of addressing features such as structural breaks and time-varying inflation uncertainty. Empirical difficulties in the estimation and evaluation of macro-finance models are also discussed in detail. Reprinted by permission of the Federal Reserve Bank of St. Louis |
doi_str_mv | 10.20955/r.91.519-544 |
format | article |
fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_reports_227761227</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>753832737</sourcerecordid><originalsourceid>FETCH-LOGICAL-c396t-a754b24e49baace9c9028a2bc2cd61bb33729b1a6ea6c12809da18d1908c69023</originalsourceid><addsrcrecordid>eNpdzUtLxDAUBeAgCtbRpfsKgqvU3LyzlOILBtzouiTpnbHSpmPT-f8GdOXmHg58nEvINbCGM6fU_dI4aBQ4qqQ8IRUHLahUTJ2SijGQ1IE15-Qi5y9WOuO2Irftpx9HTHvM9ZDqycdlprsh-RSxnuYexyHtL8nZzo8Zr_5yQz6eHt_bF7p9e35tH7Y0CqdX6o2SgUuULngf0UVXXngeIo-9hhCEMNwF8Bq9jsAtc70H24NjNupixYbc_O4elvn7iHntFjzMy5o7zo3RUG4xd__MNOSI4-gTzsfcGSWsKM6IH1JkTRU</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>227761227</pqid></control><display><type>article</type><title>Challenges in macro-finance modeling</title><source>International Bibliography of the Social Sciences (IBSS)</source><source>Business Source Ultimate</source><source>Social Science Premium Collection</source><source>ABI/INFORM Global</source><source>Politics Collection</source><source>PAIS Index</source><source>Alma/SFX Local Collection</source><source>EBSCO_EconLit with Full Text(美国经济学会全文数据库)</source><creator>Kim, Don H</creator><creatorcontrib>Kim, Don H</creatorcontrib><description>This article discusses various challenges in the specification and implementation of 'macro-finance' models in which macroeconomic variables and term structure variables are modeled together in a no-arbitrage framework. The author classifies macro-finance models into pure latent-factor models (`internal basis models') and models that have observed macroeconomic variables as state variables (`external basis models') and examines the underlying assumptions behind these models. Particular attention is paid to the issue of unspanned short-run fluctuations in macro-economic variables and their potentially adverse effect on the specification of external basis models. The author also discusses the challenge of addressing features such as structural breaks and time-varying inflation uncertainty. Empirical difficulties in the estimation and evaluation of macro-finance models are also discussed in detail. Reprinted by permission of the Federal Reserve Bank of St. Louis</description><identifier>ISSN: 0014-9187</identifier><identifier>EISSN: 2163-4505</identifier><identifier>DOI: 10.20955/r.91.519-544</identifier><identifier>CODEN: FRBRDV</identifier><language>eng</language><publisher>St. Louis: Federal Reserve Bank of St. Louis</publisher><subject>Arbitrage ; Financial engineering ; Hypotheses ; Impact analysis ; Inflation ; Macroeconomics ; Mathematical finance ; Monetary economics ; Research methods ; Structural change ; Studies ; Term structure ; Variables ; Yield curve</subject><ispartof>Review - Federal Reserve Bank of St. Louis, 2009-09, Vol.91 (5(2)), p.519-544</ispartof><rights>Copyright Federal Reserve Bank of St. Louis Sep/Oct 2009</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-a754b24e49baace9c9028a2bc2cd61bb33729b1a6ea6c12809da18d1908c69023</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/227761227?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>312,314,780,784,791,15314,16472,21505,21512,27862,27922,27923,33222,33223,33610,33612,33984,33986,36059,36060,43731,43946,44361</link.rule.ids></links><search><creatorcontrib>Kim, Don H</creatorcontrib><title>Challenges in macro-finance modeling</title><title>Review - Federal Reserve Bank of St. Louis</title><description>This article discusses various challenges in the specification and implementation of 'macro-finance' models in which macroeconomic variables and term structure variables are modeled together in a no-arbitrage framework. The author classifies macro-finance models into pure latent-factor models (`internal basis models') and models that have observed macroeconomic variables as state variables (`external basis models') and examines the underlying assumptions behind these models. Particular attention is paid to the issue of unspanned short-run fluctuations in macro-economic variables and their potentially adverse effect on the specification of external basis models. The author also discusses the challenge of addressing features such as structural breaks and time-varying inflation uncertainty. Empirical difficulties in the estimation and evaluation of macro-finance models are also discussed in detail. Reprinted by permission of the Federal Reserve Bank of St. Louis</description><subject>Arbitrage</subject><subject>Financial engineering</subject><subject>Hypotheses</subject><subject>Impact analysis</subject><subject>Inflation</subject><subject>Macroeconomics</subject><subject>Mathematical finance</subject><subject>Monetary economics</subject><subject>Research methods</subject><subject>Structural change</subject><subject>Studies</subject><subject>Term structure</subject><subject>Variables</subject><subject>Yield curve</subject><issn>0014-9187</issn><issn>2163-4505</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>8BJ</sourceid><sourceid>7TQ</sourceid><sourceid>ALSLI</sourceid><sourceid>DPSOV</sourceid><sourceid>M0C</sourceid><sourceid>M2L</sourceid><recordid>eNpdzUtLxDAUBeAgCtbRpfsKgqvU3LyzlOILBtzouiTpnbHSpmPT-f8GdOXmHg58nEvINbCGM6fU_dI4aBQ4qqQ8IRUHLahUTJ2SijGQ1IE15-Qi5y9WOuO2Irftpx9HTHvM9ZDqycdlprsh-RSxnuYexyHtL8nZzo8Zr_5yQz6eHt_bF7p9e35tH7Y0CqdX6o2SgUuULngf0UVXXngeIo-9hhCEMNwF8Bq9jsAtc70H24NjNupixYbc_O4elvn7iHntFjzMy5o7zo3RUG4xd__MNOSI4-gTzsfcGSWsKM6IH1JkTRU</recordid><startdate>20090901</startdate><enddate>20090901</enddate><creator>Kim, Don H</creator><general>Federal Reserve Bank of St. Louis</general><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope><scope>0-V</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>4T-</scope><scope>4U-</scope><scope>7TQ</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>885</scope><scope>8AO</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>ANIOZ</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DHY</scope><scope>DON</scope><scope>DPSOV</scope><scope>DWQXO</scope><scope>FRAZJ</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K60</scope><scope>K6~</scope><scope>KC-</scope><scope>L.-</scope><scope>L.0</scope><scope>M0C</scope><scope>M1F</scope><scope>M2L</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>S0X</scope></search><sort><creationdate>20090901</creationdate><title>Challenges in macro-finance modeling</title><author>Kim, Don H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-a754b24e49baace9c9028a2bc2cd61bb33729b1a6ea6c12809da18d1908c69023</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Arbitrage</topic><topic>Financial engineering</topic><topic>Hypotheses</topic><topic>Impact analysis</topic><topic>Inflation</topic><topic>Macroeconomics</topic><topic>Mathematical finance</topic><topic>Monetary economics</topic><topic>Research methods</topic><topic>Structural change</topic><topic>Studies</topic><topic>Term structure</topic><topic>Variables</topic><topic>Yield curve</topic><toplevel>online_resources</toplevel><creatorcontrib>Kim, Don H</creatorcontrib><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Social Sciences Premium Collection【Remote access available】</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>ProQuest Central (Corporate)</collection><collection>Docstoc</collection><collection>University Readers</collection><collection>PAIS Index</collection><collection>ABI商业信息数据库</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>Banking Information Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Social Science Premium Collection</collection><collection>Accounting, Tax & Banking Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>Politics Collection</collection><collection>ProQuest Central</collection><collection>Accounting, Tax & Banking Collection (Alumni)</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Politics Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ABI/INFORM Global</collection><collection>Banking Information Database</collection><collection>Political Science Database</collection><collection>ProQuest Research Library</collection><collection>Research Library (Corporate)</collection><collection>One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><jtitle>Review - Federal Reserve Bank of St. Louis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Don H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Challenges in macro-finance modeling</atitle><jtitle>Review - Federal Reserve Bank of St. Louis</jtitle><date>2009-09-01</date><risdate>2009</risdate><volume>91</volume><issue>5(2)</issue><spage>519</spage><epage>544</epage><pages>519-544</pages><issn>0014-9187</issn><eissn>2163-4505</eissn><coden>FRBRDV</coden><abstract>This article discusses various challenges in the specification and implementation of 'macro-finance' models in which macroeconomic variables and term structure variables are modeled together in a no-arbitrage framework. The author classifies macro-finance models into pure latent-factor models (`internal basis models') and models that have observed macroeconomic variables as state variables (`external basis models') and examines the underlying assumptions behind these models. Particular attention is paid to the issue of unspanned short-run fluctuations in macro-economic variables and their potentially adverse effect on the specification of external basis models. The author also discusses the challenge of addressing features such as structural breaks and time-varying inflation uncertainty. Empirical difficulties in the estimation and evaluation of macro-finance models are also discussed in detail. Reprinted by permission of the Federal Reserve Bank of St. Louis</abstract><cop>St. Louis</cop><pub>Federal Reserve Bank of St. Louis</pub><doi>10.20955/r.91.519-544</doi><tpages>26</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0014-9187 |
ispartof | Review - Federal Reserve Bank of St. Louis, 2009-09, Vol.91 (5(2)), p.519-544 |
issn | 0014-9187 2163-4505 |
language | eng |
recordid | cdi_proquest_reports_227761227 |
source | International Bibliography of the Social Sciences (IBSS); Business Source Ultimate; Social Science Premium Collection; ABI/INFORM Global; Politics Collection; PAIS Index; Alma/SFX Local Collection; EBSCO_EconLit with Full Text(美国经济学会全文数据库) |
subjects | Arbitrage Financial engineering Hypotheses Impact analysis Inflation Macroeconomics Mathematical finance Monetary economics Research methods Structural change Studies Term structure Variables Yield curve |
title | Challenges in macro-finance modeling |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T01%3A10%3A49IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Challenges%20in%20macro-finance%20modeling&rft.jtitle=Review%20-%20Federal%20Reserve%20Bank%20of%20St.%20Louis&rft.au=Kim,%20Don%20H&rft.date=2009-09-01&rft.volume=91&rft.issue=5(2)&rft.spage=519&rft.epage=544&rft.pages=519-544&rft.issn=0014-9187&rft.eissn=2163-4505&rft.coden=FRBRDV&rft_id=info:doi/10.20955/r.91.519-544&rft_dat=%3Cproquest%3E753832737%3C/proquest%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c396t-a754b24e49baace9c9028a2bc2cd61bb33729b1a6ea6c12809da18d1908c69023%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=227761227&rft_id=info:pmid/&rfr_iscdi=true |