IDEAS home Printed from https://ideas.repec.org/b/spr/prbuec/978-3-319-54885-2.html
   My bibliography  Save this book

Contemporary Trends and Challenges in Finance

Editor

Listed:
  • Krzysztof Jajuga
    (Wrocław University of Economics)

  • Lucjan T. Orlowski
    (Sacred Heart University)

  • Karsten Staehr
    (Tallinn University of Technology)

Abstract

No abstract is available for this item.

Individual chapters are listed in the "Chapters" tab

Suggested Citation

  • Krzysztof Jajuga & Lucjan T. Orlowski & Karsten Staehr (ed.), 2017. "Contemporary Trends and Challenges in Finance," Springer Proceedings in Business and Economics, Springer, number 978-3-319-54885-2, December.
    • Handle: RePEc:spr:prbuec:978-3-319-54885-2
    DOI: 10.1007/978-3-319-54885-2
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    References listed on IDEAS

    as
    1. Carla Soares & Paulo M. M. Rodrigues, 2013. "Determinants of the EONIA Spread and the Financial Crisis," Manchester School, University of Manchester, vol. 81, pages 82-110, October.
    2. Agata Kliber & Paweł Kliber & Piotr Płuciennik & Małgorzata Piwnicka, 2016. "POLONIA dynamics during the years 2006–2012 and the effectiveness of the monetary Policy of the National Bank of Poland," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 43(1), pages 37-59, February.
    3. Gary Koop & Dimitris Korobilis, 2012. "Forecasting Inflation Using Dynamic Model Averaging," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(3), pages 867-886, August.
    4. Hassler, Uwe & Nautz, Dieter, 2008. "On the persistence of the Eonia spread," Economics Letters, Elsevier, vol. 101(3), pages 184-187, December.
    5. Gary Koop & Lise Tole, 2013. "Forecasting the European carbon market," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 723-741, June.
    6. Anne Vila Wetherilt, 2003. "Money market operations and short-term interest rate volatility in the United Kingdom," Applied Financial Economics, Taylor & Francis Journals, vol. 13(10), pages 701-719.
    7. Puriya Abbassi & Dieter Nautz, 2010. "Monetary Transmission Right from the Start: The (Dis)Connection Between the Money Market and the ECB’s Main Refinancing Rates," Working Papers 1011, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz, revised 15 Jul 2010.
    8. Linzert, Tobias & Schmidt, Sandra, 2008. "What explains the spread between the euro overnight rate and the ECB's policy rate?," Working Paper Series 983, European Central Bank.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Joanna Olbrys, 2019. "Intra-market commonality in liquidity: new evidence from the Polish stock exchange," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 14(2), pages 251-275, June.
    2. Ewa Dziwok & Marta A. Karaś, 2021. "Systemic Illiquidity Noise-Based Measure—A Solution for Systemic Liquidity Monitoring in Frontier and Emerging Markets," Risks, MDPI, vol. 9(7), pages 1-29, July.
    3. Olbrys, Joanna & Mursztyn, Michal, 2019. "Estimation of intraday stock market resiliency: Short-Time Fourier Transform approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    4. Olbrys, Joanna & Mursztyn, Michal, 2019. "Measuring stock market resiliency with Discrete Fourier Transform for high frequency data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 248-256.
    5. Joanna Olbryś & Michał Mursztyn, 2017. "Measurement of stock market liquidity supported by an algorithm inferring the initiator of a trade," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 27(4), pages 111-127.
    6. Szymon Stereńczak, 2020. "State-Dependent Stock Liquidity Premium: The Case of the Warsaw Stock Exchange," IJFS, MDPI, vol. 8(1), pages 1-24, March.
    7. James Ming Chen, 2018. "On Exactitude in Financial Regulation: Value-at-Risk, Expected Shortfall, and Expectiles," Risks, MDPI, vol. 6(2), pages 1-28, June.

    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. Nautz, Dieter & Scheithauer, Jan, 2011. "Monetary policy implementation and overnight rate persistence," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1375-1386.
    2. Naser, Hanan, 2016. "Estimating and forecasting the real prices of crude oil: A data rich model using a dynamic model averaging (DMA) approach," Energy Economics, Elsevier, vol. 56(C), pages 75-87.
    3. Miguel Belmonte & Gary Koop, 2014. "Model Switching and Model Averaging in Time-Varying Parameter Regression Models," Advances in Econometrics, in: Bayesian Model Comparison, volume 34, pages 45-69, Emerald Group Publishing Limited.
    4. Yusupova, Alisa & Pavlidis, Nicos G. & Pavlidis, Efthymios G., 2023. "Dynamic linear models with adaptive discounting," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1925-1944.
    5. Guérin, Pierre & Leiva-Leon, Danilo, 2017. "Model averaging in Markov-switching models: Predicting national recessions with regional data," Economics Letters, Elsevier, vol. 157(C), pages 45-49.
    6. Puriya Abbassi & Dieter Nautz & Christian Offermanns, 2010. "Interest Rate Dynamics and Monetary Policy Implementation in Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 146(I), pages 313-340, March.
    7. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana, 2024. "Persistence and long memory in monetary policy spreads," Applied Economics, Taylor & Francis Journals, vol. 56(20), pages 2422-2433, April.
    8. Hernandis, Lucía & Torró, Hipòlit, 2013. "The information content of Eonia swap rates before and during the financial crisis," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5316-5328.
    9. Alisa Yusupova & Nicos G. Pavlidis & Efthymios G. Pavlidis, 2019. "Adaptive Dynamic Model Averaging with an Application to House Price Forecasting," Papers 1912.04661, arXiv.org.
    10. Koch, Nicolas & Grosjean, Godefroy & Fuss, Sabine & Edenhofer, Ottmar, 2016. "Politics matters: Regulatory events as catalysts for price formation under cap-and-trade," Journal of Environmental Economics and Management, Elsevier, vol. 78(C), pages 121-139.
    11. Liu, Li & Ma, Feng & Wang, Yudong, 2015. "Forecasting excess stock returns with crude oil market data," Energy Economics, Elsevier, vol. 48(C), pages 316-324.
    12. Beirne, John, 2012. "The EONIA spread before and during the crisis of 2007–2009: The role of liquidity and credit risk," Journal of International Money and Finance, Elsevier, vol. 31(3), pages 534-551.
    13. Piotr Fiszeder & Ilona Pietryka, 2018. "Monetary policy in steering the EONIA and POLONIA rates in the Eurosystem and Poland: a comparative analysis," Empirical Economics, Springer, vol. 55(2), pages 445-470, September.
    14. Zhang, Zhikai & Wang, Yudong & Zhang, Yaojie & Wang, Qunwei, 2024. "Forecasting carbon prices under diversified attention: A dynamic model averaging approach with common factors," Energy Economics, Elsevier, vol. 133(C).
    15. Nima Nonejad, 2021. "An Overview Of Dynamic Model Averaging Techniques In Time‐Series Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 566-614, April.
    16. Liu, Li & Wang, Yudong & Yang, Li, 2018. "Predictability of crude oil prices: An investor perspective," Energy Economics, Elsevier, vol. 75(C), pages 193-205.
    17. Risse, Marian & Ohl, Ludwig, 2017. "Using dynamic model averaging in state space representation with dynamic Occam’s window and applications to the stock and gold market," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 158-176.
    18. Pan, Zhiyuan & Wang, Qing & Wang, Yudong & Yang, Li, 2018. "Forecasting U.S. real GDP using oil prices: A time-varying parameter MIDAS model," Energy Economics, Elsevier, vol. 72(C), pages 177-187.
    19. Sunil Kumar & Anand Prakash & Krishna M. Kushawaha, 2017. "What Explains Call Money Rate Spread in India?," Working Papers id:11975, eSocialSciences.
    20. Krzysztof Drachal, 2018. "Some Novel Bayesian Model Combination Schemes: An Application to Commodities Prices," Sustainability, MDPI, vol. 10(8), pages 1-27, August.

    Book Chapters

    The following chapters of this book are listed in IDEAS

    More about this item

    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:spr:prbuec:978-3-319-54885-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.