IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v62y2024ipas1544612324001806.html
   My bibliography  Save this article

Fixed vs. adjustable-rate mortgages and attention

Author

Listed:
  • González-Fernández, Marcos
  • Trujillo, Francisco José Sáez
  • González-Velasco, Carmen

Abstract

The aim of this paper is to analyze the attention of households to fixed-rate and adjustable-rate mortgage loans depending on the evolution of interest rates. We hypothesize that a high level of general interest rates would lead to a higher attention to adjustable-rate mortgages. Using Google Trends tool to capture this attention, we demonstrate using VAR models that upsurges in interest rates precede a larger attention on Google searches related to adjustable-rate mortgages, but not for fixed-rate mortgages.

Suggested Citation

  • González-Fernández, Marcos & Trujillo, Francisco José Sáez & González-Velasco, Carmen, 2024. "Fixed vs. adjustable-rate mortgages and attention," Finance Research Letters, Elsevier, vol. 62(PA).
  • Handle: RePEc:eee:finlet:v:62:y:2024:i:pa:s1544612324001806
    DOI: 10.1016/j.frl.2024.105150
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612324001806
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2024.105150?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Theologos Dergiades & Costas Milas & Theodore Panagiotidis, 2015. "Tweets, Google trends, and sovereign spreads in the GIIPS," Oxford Economic Papers, Oxford University Press, vol. 67(2), pages 406-432.
    2. John Y. Campbell & João F. Cocco, 2003. "Household Risk Management and Optimal Mortgage Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1449-1494.
    3. Venus Khim-Sen Liew, 2004. "Which Lag Length Selection Criteria Should We Employ?," Economics Bulletin, AccessEcon, vol. 3(33), pages 1-9.
    4. Chauvet, Marcelle & Gabriel, Stuart & Lutz, Chandler, 2016. "Mortgage default risk: New evidence from internet search queries," Journal of Urban Economics, Elsevier, vol. 96(C), pages 91-111.
    5. Ahn, Kwangwon & Forsyth, Joetta & Jang, Hanwool & Kim, Dongshin, 2022. "Fixed rate mortgages: The cost of interest rate risk aversion," Finance Research Letters, Elsevier, vol. 44(C).
    6. Zhang, Yihao & Tao, Lingfeng, 2019. "Haze, investor attention and China's stock markets: Evidence from internet stock forum," Finance Research Letters, Elsevier, vol. 31(C).
    7. Zhi Da & Joseph Engelberg & Pengjie Gao, 2015. "Editor's Choice The Sum of All FEARS Investor Sentiment and Asset Prices," The Review of Financial Studies, Society for Financial Studies, vol. 28(1), pages 1-32.
    8. Kou, Yi & Ye, Qiang & Zhao, Feng & Wang, Xiaolin, 2018. "Effects of investor attention on commodity futures markets," Finance Research Letters, Elsevier, vol. 25(C), pages 190-195.
    9. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    10. Posey, Lisa L. & Yavas, Abdullah, 2001. "Adjustable and Fixed Rate Mortgages as a Screening Mechanism for Default Risk," Journal of Urban Economics, Elsevier, vol. 49(1), pages 54-79, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Emna Mnif & Anis Jarboui & M. Kabir Hassan & Khaireddine Mouakhar, 2020. "Big data tools for Islamic financial analysis," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 27(1), pages 10-21, January.
    2. González-Fernández, Marcos & González-Velasco, Carmen, 2020. "An alternative approach to predicting bank credit risk in Europe with Google data," Finance Research Letters, Elsevier, vol. 35(C).
    3. Papadamou, Stephanos & Fassas, Athanasios P. & Kenourgios, Dimitris & Dimitriou, Dimitrios, 2023. "Effects of the first wave of COVID-19 pandemic on implied stock market volatility: International evidence using a google trend measure," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).
    4. Zhang, Yongjie & Song, Weixin & Shen, Dehua & Zhang, Wei, 2016. "Market reaction to internet news: Information diffusion and price pressure," Economic Modelling, Elsevier, vol. 56(C), pages 43-49.
    5. Fernandez-Perez, Adrian & Fuertes, Ana-Maria & Gonzalez-Fernandez, Marcos & Miffre, Joelle, 2020. "Fear of hazards in commodity futures markets," Journal of Banking & Finance, Elsevier, vol. 119(C).
    6. Lee, Chien-Chiang & Chen, Mei-Ping, 2021. "The effects of investor attention and policy uncertainties on cross-border country exchange-traded fund returns," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 830-852.
    7. Coble, David & Pincheira, Pablo, 2017. "Nowcasting Building Permits with Google Trends," MPRA Paper 76514, University Library of Munich, Germany.
    8. Szczygielski, Jan Jakub & Charteris, Ailie & Obojska, Lidia, 2023. "Do commodity markets catch a cold from stock markets? Modelling uncertainty spillovers using Google search trends and wavelet coherence," International Review of Financial Analysis, Elsevier, vol. 87(C).
    9. Damian S. Damianov & Xiangdong Wang & Cheng Yan, 2021. "Google Search Queries, Foreclosures, and House Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 63(2), pages 177-209, August.
    10. Wei‐Fong Pan & James Reade & Shixuan Wang, 2022. "Measuring US regional economic uncertainty," Journal of Regional Science, Wiley Blackwell, vol. 62(4), pages 1149-1178, September.
    11. González-Fernández, Marcos & González-Velasco, Carmen, 2020. "A sentiment index to measure sovereign risk using Google data," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 406-418.
    12. Georgios Bampinas & Theodore Panagiotidis & Christina Rouska, 2019. "Volatility persistence and asymmetry under the microscope: the role of information demand for gold and oil," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(1), pages 180-197, February.
    13. Goodell, John W. & Kumar, Satish & Li, Xiao & Pattnaik, Debidutta & Sharma, Anuj, 2022. "Foundations and research clusters in investor attention: Evidence from bibliometric and topic modelling analysis," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 511-529.
    14. Ramya Rajajagadeesan Aroul & Sanjiv Sabherwal & Sergiy Saydometov, 2022. "FEAR Index, city characteristics, and housing returns," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(1), pages 173-205, March.
    15. Papadamou, Stephanos & Fassas, Athanasios & Kenourgios, Dimitris & Dimitriou, Dimitrios, 2020. "Direct and Indirect Effects of COVID-19 Pandemic on Implied Stock Market Volatility: Evidence from Panel Data Analysis," MPRA Paper 100020, University Library of Munich, Germany.
    16. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2024. "Google search trends and stock markets: Sentiment, attention or uncertainty?," International Review of Financial Analysis, Elsevier, vol. 91(C).
    17. Qadan, Mahmoud & Zoua’bi, Maher, 2019. "Financial attention and the demand for information," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 82(C).
    18. Wenwen Liu & Jinyu Yang & Jingrui Chen & Lei Xu, 2023. "How Social-Network Attention and Sentiment of Investors Affect Commodity Futures Market Returns: New Evidence From China," SAGE Open, , vol. 13(1), pages 21582440231, January.
    19. Derrick W. H. Fung & Charles C. Yang & Jason J. H. Yeh, 2024. "The market price to embedded value gap: an analysis of European life insurers," Review of Quantitative Finance and Accounting, Springer, vol. 62(1), pages 69-96, January.
    20. Jan K. Brueckner & Kangoh Lee, 2014. "Optimal Risk-Sharing in Mortgage Contracts: The Effects of Potential Prepayment and Default," CESifo Working Paper Series 4979, CESifo.

    More about this item

    Keywords

    Mortgage market; Attention; Fixed-rate; Adjustable-rate; Google data;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G40 - Financial Economics - - Behavioral Finance - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:finlet:v:62:y:2024:i:pa:s1544612324001806. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.