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Mary E. Malliaris

Personal Details

First Name:Mary
Middle Name:E.
Last Name:Malliaris
Suffix:
RePEc Short-ID:pma2030
[This author has chosen not to make the email address public]

Affiliation

Quinlan School of Business
Loyola University

Chicago, Illinois (United States)
http://www.luc.edu/quinlan/
RePEc:edi:qsloyus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Malliaris, A.G. & Malliaris, Mary, 2011. "Are foreign currency markets interdependent? evidence from data mining technologies," MPRA Paper 35261, University Library of Munich, Germany.
  2. Malliaris, A.G. & Malliaris, Mary, 2011. "Are oil, gold and the euro inter-related? time series and neural network analysis," MPRA Paper 35266, University Library of Munich, Germany.

Articles

  1. Anastasios G. Malliaris & Mary Malliaris & Mark S. Rzepczynski, 2024. "One Man’s Bubble Is Another Man’s Rational Behavior: Comparing Alternative Macroeconomic Hypotheses for the US Housing Market," JRFM, MDPI, vol. 17(8), pages 1-21, August.
  2. Malliaris, Anastasios G. & Malliaris, Mary E., 2023. "Where is the Euro Area headed? Restoration of price stability," Journal of Policy Modeling, Elsevier, vol. 45(4), pages 848-863.
  3. Pettis Kent & Abhishek Sharma & Mary Malliaris & Nenad Jukic & Arup Varma, 2023. "Perceived differences in confidence and ability of females: the role of human resources," International Studies of Management & Organization, Taylor & Francis Journals, vol. 53(2), pages 104-123, April.
  4. Ramaprasad Bhar & Anastasios G. Malliaris & Mary Malliaris, 2021. "What Has Driven the U.S. Monthly Oil Production Since 2009? Empirical Results from Two Modeling Approaches," JRFM, MDPI, vol. 14(2), pages 1-11, February.
  5. Anastasios G. Malliaris & Mary Malliaris, 2021. "What Microeconomic Fundamentals Drove Global Oil Prices during 1986–2020?," JRFM, MDPI, vol. 14(8), pages 1-13, August.
  6. Anastasios Malliaris & Mary E. Malliaris, 2020. "The global price of oil, QE and the US high yield rate," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 47(7), pages 1849-1860, April.
  7. Malliaris, Anastasios G. & Malliaris, Mary, 2020. "The impact of the twin financial crises," Journal of Policy Modeling, Elsevier, vol. 42(4), pages 878-892.
  8. Malliaris, A.G. & Malliaris, Mary, 2015. "What drives gold returns? A decision tree analysis," Finance Research Letters, Elsevier, vol. 13(C), pages 45-53.
  9. Ramaprasad Bhar & A.G. Malliaris & Mary Malliaris, 2015. "Quantitative Easing and the U.S. Stock Market: A Decision Tree Analysis," Review of Economic Analysis, Digital Initiatives at the University of Waterloo Library, vol. 7(2), pages 135-156, December.
  10. Ramaprasad Bhar & Malliaris & Mary Malliaris, 2015. "The impact of large-scale asset purchases on the S&P 500 index, long-term interest rates and unemployment," Applied Economics, Taylor & Francis Journals, vol. 47(55), pages 6010-6018, November.
  11. A. Malliaris & Mary Malliaris, 2014. "N-tuple S&P patterns across decades, 1950–2011," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(2), pages 339-353, June.
  12. A. Malliaris & Mary Malliaris, 2013. "Are oil, gold and the euro inter-related? Time series and neural network analysis," Review of Quantitative Finance and Accounting, Springer, vol. 40(1), pages 1-14, January.
  13. Malliaris, A. G. & Mlliaris, Mary, 2012. "Are foreign currency markets interdependent? Evidence from data mining technologies / ¿Son interdependientes los mercados de divisas? Evidencia de tecnologías de minería de datos," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, vol. 2(1), pages 31-47, enero-jun.
  14. Malliaris, M.E., 2012. "Comparison Of Currency Movement Before And After October 2008," The Journal of Economic Asymmetries, Elsevier, vol. 9(2), pages 45-57.
  15. Malliaris, A.G. & Malliaris, Mary E., 2008. "Investment principles for individual retirement accounts," Journal of Banking & Finance, Elsevier, vol. 32(3), pages 393-404, March.
  16. M. E. Malliaris & S. G. Malliaris, 2008. "Forecasting inter-related energy product prices," The European Journal of Finance, Taylor & Francis Journals, vol. 14(6), pages 453-468.
  17. Malliaris, A G & Malliaris, Mary E, 1995. "Decomposition of Inflation and Its Volatility: A Stochastic Approach," Review of Quantitative Finance and Accounting, Springer, vol. 5(1), pages 93-103, March.
  18. Malliaris, A. G. & Mullady, Walter Sr. & Malliaris, M. E., 1991. "Interest rates and inflation : A continuous time stochastic approach," Economics Letters, Elsevier, vol. 37(4), pages 351-356, December.

Chapters

  1. A. G. Malliaris & Mary Malliaris, 2018. "Directional Returns for Gold and Silver: A Cluster Analysis Approach," International Series in Operations Research & Management Science, in: Giorgio Consigli & Silvana Stefani & Giovanni Zambruno (ed.), Handbook of Recent Advances in Commodity and Financial Modeling, chapter 0, pages 3-16, Springer.
  2. Nenad Jukic & Boris Jukic & Mary Malliaris, 2008. "Online Analytical Processing (OLAP) for Decision Support," International Handbooks on Information Systems, in: Handbook on Decision Support Systems 1, chapter 13, pages 259-276, Springer.
  3. A. G. Malliaris & Mary E. Malliaris, 2005. "Decomposition of Inflation and its Volatility: A Stochastic Approach," World Scientific Book Chapters, in: Economic Uncertainty, Instabilities And Asset Bubbles Selected Essays, chapter 5, pages 29-39, World Scientific Publishing Co. Pte. Ltd..
  4. A. G. Malliaris & Walter F. Mullady & M. E. Malliaris, 2005. "Interest rates and inflation: A continuous time stochastic approach," World Scientific Book Chapters, in: Economic Uncertainty, Instabilities And Asset Bubbles Selected Essays, chapter 4, pages 23-28, World Scientific Publishing Co. Pte. Ltd..

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Malliaris, A.G. & Malliaris, Mary, 2011. "Are oil, gold and the euro inter-related? time series and neural network analysis," MPRA Paper 35266, University Library of Munich, Germany.

    Cited by:

    1. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2014. "Dynamic spillovers of oil price shocks and economic policy uncertainty," Energy Economics, Elsevier, vol. 44(C), pages 433-447.
    2. Gupta, Rangan & Majumdar, Anandamayee & Pierdzioch, Christian & Wohar, Mark E., 2017. "Do terror attacks predict gold returns? Evidence from a quantile-predictive-regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 276-284.
    3. Omura, Akihiro & Todorova, Neda & Li, Bin & Chung, Richard, 2016. "Steel scrap and equity market in Japan," Resources Policy, Elsevier, vol. 47(C), pages 115-124.
    4. Shahani, Rakesh & Paliwal, Riya, 2020. "An empirical analysis of the Co-movement of Crude, Gold, Rupee-Dollar Exchange rate and Nifty 50 Stock Index during Sub-prime and Coronavirus crisis periods," MPRA Paper 103568, University Library of Munich, Germany.
    5. O'Connor, Fergal & Lucey, Brian & Batten, Jonathan & Baur, Dirk, 2015. "The Financial Economics of Gold - a survey," MPRA Paper 65484, University Library of Munich, Germany.
    6. Syed Jawad Hussain Shahzad & Elie Bouri & Naveed Raza & David Roubaud, 2019. "Asymmetric impacts of disaggregated oil price shocks on uncertainties and investor sentiment," Review of Quantitative Finance and Accounting, Springer, vol. 52(3), pages 901-921, April.
    7. Reboredo, Juan C. & Rivera-Castro, Miguel A., 2014. "Gold and exchange rates: Downside risk and hedging at different investment horizons," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 267-279.
    8. Wang, Xinya & Lucey, Brian & Huang, Shupei, 2022. "Can gold hedge against oil price movements: Evidence from GARCH-EVT wavelet modeling," Journal of Commodity Markets, Elsevier, vol. 27(C).
    9. Fathi Abid & Bilel Kaffel, 2018. "The extent of virgin olive-oil prices’ distribution revealing the behavior of market speculators," Review of Quantitative Finance and Accounting, Springer, vol. 50(2), pages 561-590, February.
    10. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2014. "Dynamic Spillovers of Oil Price Shocks and Policy Uncertainty," Department of Economics Working Paper Series 166, WU Vienna University of Economics and Business.
    11. Thomas Conlon & Brian M. Lucey & Gazi Salah Uddin, 2018. "Is gold a hedge against inflation? A wavelet time-scale perspective," Review of Quantitative Finance and Accounting, Springer, vol. 51(2), pages 317-345, August.
    12. Shamima Ahmed & Muneer Alshater & Anis El Ammari & Helmi Hammami, 2022. "Artificial intelligence and machine learning in finance: A bibliometric review," Post-Print hal-03697290, HAL.
    13. Amine Ben Amar & Jean‐Étienne Carlotti, 2021. "Who drives the dance? Further insights from a time‐frequency wavelet analysis of the interrelationship between stock markets and uncertainty," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1623-1636, January.
    14. Jin-Ray Lu & Chih-Ming Chan, 2014. "Optimal portfolio choice of gold assets in the differential market and differential game structures," Review of Quantitative Finance and Accounting, Springer, vol. 42(2), pages 309-325, February.
    15. Junhuan Zhang & Peter McBurney & Katarzyna Musial, 2018. "Convergence of trading strategies in continuous double auction markets with boundedly-rational networked traders," Review of Quantitative Finance and Accounting, Springer, vol. 50(1), pages 301-352, January.
    16. Ana Lazcano & Pedro Javier Herrera & Manuel Monge, 2023. "A Combined Model Based on Recurrent Neural Networks and Graph Convolutional Networks for Financial Time Series Forecasting," Mathematics, MDPI, vol. 11(1), pages 1-21, January.
    17. Salisu, Afees A. & Adediran, Idris & Omoke, Philip C. & Tchankam, Jean Paul, 2023. "Gold and tail risks," Resources Policy, Elsevier, vol. 80(C).
    18. Konstantinos Gkillas & Rangan Gupta & Mark E. Wohar, 2020. "Oil shocks and volatility jumps," Review of Quantitative Finance and Accounting, Springer, vol. 54(1), pages 247-272, January.
    19. Malliaris, A.G. & Malliaris, Mary, 2015. "What drives gold returns? A decision tree analysis," Finance Research Letters, Elsevier, vol. 13(C), pages 45-53.
    20. Reboredo, Juan C., 2013. "Is gold a safe haven or a hedge for the US dollar? Implications for risk management," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 2665-2676.
    21. Joscha Beckmann & Robert Czudaj, 2013. "Oil and gold price dynamics in a multivariate cointegration framework," International Economics and Economic Policy, Springer, vol. 10(3), pages 453-468, September.
    22. George Filis & Ioannis Chatziantoniou, 2014. "Financial and monetary policy responses to oil price shocks: evidence from oil-importing and oil-exporting countries," Review of Quantitative Finance and Accounting, Springer, vol. 42(4), pages 709-729, May.
    23. Ibrahim, Zil Farlilah & Masih, Mansur, 2017. "Is gold a better choice as reserve currency for smaller market economies?," MPRA Paper 105474, University Library of Munich, Germany.
    24. Abid, Fathi & Kaffel, Bilel, 2018. "Time–frequency wavelet analysis of the interrelationship between the global macro assets and the fear indexes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1028-1045.
    25. Shang, Jin & Hamori, Shigeyuki, 2024. "Quantile time-frequency connectedness analysis between crude oil, gold, financial markets, and macroeconomic indicators: Evidence from the US and EU," Energy Economics, Elsevier, vol. 132(C).
    26. Abdulrazak Nur Mohamed & Idiris Sid Ali Mohamed, 2023. "Precious Metals and Oil Price Dynamics," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 119-128, November.

Articles

  1. Ramaprasad Bhar & Anastasios G. Malliaris & Mary Malliaris, 2021. "What Has Driven the U.S. Monthly Oil Production Since 2009? Empirical Results from Two Modeling Approaches," JRFM, MDPI, vol. 14(2), pages 1-11, February.

    Cited by:

    1. Anastasios G. Malliaris & Mary Malliaris, 2021. "What Microeconomic Fundamentals Drove Global Oil Prices during 1986–2020?," JRFM, MDPI, vol. 14(8), pages 1-13, August.

  2. Anastasios G. Malliaris & Mary Malliaris, 2021. "What Microeconomic Fundamentals Drove Global Oil Prices during 1986–2020?," JRFM, MDPI, vol. 14(8), pages 1-13, August.

    Cited by:

    1. An Cheng & Tonghui Chen & Guogang Jiang & Xinru Han, 2021. "Can Major Public Health Emergencies Affect Changes in International Oil Prices?," IJERPH, MDPI, vol. 18(24), pages 1-13, December.

  3. Anastasios Malliaris & Mary E. Malliaris, 2020. "The global price of oil, QE and the US high yield rate," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 47(7), pages 1849-1860, April.

    Cited by:

    1. Ramaprasad Bhar & Anastasios G. Malliaris & Mary Malliaris, 2021. "What Has Driven the U.S. Monthly Oil Production Since 2009? Empirical Results from Two Modeling Approaches," JRFM, MDPI, vol. 14(2), pages 1-11, February.
    2. Popkova, Elena G. & Bogoviz, Aleksei V. & Lobova, Svetlana V. & DeLo, Piper & Alekseev, Alexander N. & Sergi, Bruno S., 2023. "Environmentally sustainable policies in the petroleum sector through the lens of industry 4.0. Russians Lukoil and Gazprom: The COVID-19 crisis of 2020 vs sanctions crisis of 2022," Resources Policy, Elsevier, vol. 84(C).
    3. Anastasios G. Malliaris & Mary Malliaris, 2021. "What Microeconomic Fundamentals Drove Global Oil Prices during 1986–2020?," JRFM, MDPI, vol. 14(8), pages 1-13, August.

  4. Malliaris, Anastasios G. & Malliaris, Mary, 2020. "The impact of the twin financial crises," Journal of Policy Modeling, Elsevier, vol. 42(4), pages 878-892.

    Cited by:

    1. Morelli, Pierluigi & Seghezza, Elena, 2021. "Why was the ECB’s reaction to Covid-19 crisis faster than after the 2008 financial crash?," Journal of Policy Modeling, Elsevier, vol. 43(1), pages 1-14.
    2. Foglia, Matteo & Addi, Abdelhamid & Angelini, Eliana, 2022. "The Eurozone banking sector in the time of COVID-19: Measuring volatility connectedness," Global Finance Journal, Elsevier, vol. 51(C).
    3. Malliaris, Anastasios G. & Malliaris, Mary E., 2023. "Where is the Euro Area headed? Restoration of price stability," Journal of Policy Modeling, Elsevier, vol. 45(4), pages 848-863.

  5. Malliaris, A.G. & Malliaris, Mary, 2015. "What drives gold returns? A decision tree analysis," Finance Research Letters, Elsevier, vol. 13(C), pages 45-53.

    Cited by:

    1. Atasoy, Özgün & Trudel, Remi & Noseworthy, Theodore J. & Kaufmann, Patrick J., 2022. "Tangibility bias in investment risk judgments," Organizational Behavior and Human Decision Processes, Elsevier, vol. 171(C).
    2. Hoang, Thi-Hong-Van & Wong, Wing-Keung & Zhu, Zhenzhen, 2015. "Is gold different for risk-averse and risk-seeking investors? An empirical analysis of the Shanghai Gold Exchange," Economic Modelling, Elsevier, vol. 50(C), pages 200-211.
    3. Harris, Richard D.F. & Shen, Jian, 2017. "The intrinsic value of gold: An exchange rate-free price index," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 203-217.
    4. Rangan Gupta & Sayar Karmakar & Christian Pierdzioch, 2022. "Safe Havens, Machine Learning, and the Sources of Geopolitical Risk: A Forecasting Analysis Using Over a Century of Data," Working Papers 202201, University of Pretoria, Department of Economics.
    5. Drachal, Krzysztof, 2019. "Forecasting prices of selected metals with Bayesian data-rich models," Resources Policy, Elsevier, vol. 64(C).
    6. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2016. "Are precious metals a hedge against exchange-rate movements? An empirical exploration using bayesian additive regression trees," The North American Journal of Economics and Finance, Elsevier, vol. 38(C), pages 27-38.
    7. Huang, Xiaoyong & Jia, Fei & Xu, Xiangyun & Yu shi,, 2019. "The threshold effect of market sentiment and inflation expectations on gold price," Resources Policy, Elsevier, vol. 62(C), pages 77-83.
    8. Joscha Beckmann & Theo Berger & Robert Czudaj & Thi-Hong-Van Hoang, 2017. "Tail dependence between gold and sectorial stocks in China: Perspectives for portfolio diversication," Chemnitz Economic Papers 012, Department of Economics, Chemnitz University of Technology, revised Jul 2017.
    9. Abdelbari El Khamlichi & Thi Hong Van Hoang & Wing‐keung Wong, 2016. "Is Gold Different for Islamic and Conventional Portfolios? A Sectorial Analysis," Post-Print hal-02964594, HAL.
    10. Luo, Xingguo & Qin, Shihua & Ye, Zinan, 2016. "The information content of implied volatility and jumps in forecasting volatility: Evidence from the Shanghai gold futures market," Finance Research Letters, Elsevier, vol. 19(C), pages 105-111.
    11. Rigamonti, Alessandro Paolo & Greco, Giulio & Capocchi, Alessandro, 2024. "Futures, provisional sales, and earnings management in the global gold mining industry," Finance Research Letters, Elsevier, vol. 59(C).
    12. Naeem, Muhammad Abubakr & Qureshi, Fiza & Arif, Muhammad & Balli, Faruk, 2021. "Asymmetric relationship between gold and Islamic stocks in bearish, normal and bullish market conditions," Resources Policy, Elsevier, vol. 72(C).
    13. Hoang, Thi-Hong-Van & Zhu, Zhenzhen & El Khamlichi, Abdelbari & Wong, Wing-Keung, 2019. "Does the Shari’ah screening impact the gold-stock nexus? A sectorial analysis," Resources Policy, Elsevier, vol. 61(C), pages 617-626.
    14. Shahzad, Syed Jawad Hussain & Rahman, Md Lutfur & Lucey, Brian M. & Uddin, Gazi Salah, 2021. "Re-examining the real option characteristics of gold for gold mining companies," Resources Policy, Elsevier, vol. 70(C).
    15. Plakandaras, Vasilios & Ji, Qiang, 2022. "Intrinsic decompositions in gold forecasting," Journal of Commodity Markets, Elsevier, vol. 28(C).
    16. Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015. "Predicting Recessions With Boosted Regression Trees," Working Papers 2015-004, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    17. Charteris, Ailie & Kallinterakis, Vasileios, 2021. "Feedback trading in retail-dominated assets: Evidence from the gold bullion coin market," International Review of Financial Analysis, Elsevier, vol. 75(C).
    18. Dichtl, Hubert, 2020. "Forecasting excess returns of the gold market: Can we learn from stock market predictions?," Journal of Commodity Markets, Elsevier, vol. 19(C).
    19. Wu, Wei & Tang, Xiaoping & Lv, Jiake & Yang, Chao & Liu, Hongbin, 2021. "Potential of Bayesian additive regression trees for predicting daily global and diffuse solar radiation in arid and humid areas," Renewable Energy, Elsevier, vol. 177(C), pages 148-163.
    20. Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015. "Predicting Recessions in Germany With Boosted Regression Trees," Macroeconomics and Finance Series 201505, University of Hamburg, Department of Socioeconomics.
    21. Vasilios Plakandaras & Periklis Gogas & Theophilos Papadimitriou, 2021. "Gold Against the Machine," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 5-28, January.
    22. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Karikari, Nana Kwasi & Hammoudeh, Shawkat, 2022. "Time-varying dependence dynamics between international commodity prices and Australian industry stock returns: a Perspective for portfolio diversification," Energy Economics, Elsevier, vol. 108(C).
    23. Ftiti, Zied & Fatnassi, Ibrahim & Tiwari, Aviral Kumar, 2016. "Neoclassical finance, behavioral finance and noise traders: Assessment of gold–oil markets," Finance Research Letters, Elsevier, vol. 17(C), pages 33-40.
    24. Christian Pierdzioch & Marian Risse, 2020. "Forecasting precious metal returns with multivariate random forests," Empirical Economics, Springer, vol. 58(3), pages 1167-1184, March.

  6. Ramaprasad Bhar & A.G. Malliaris & Mary Malliaris, 2015. "Quantitative Easing and the U.S. Stock Market: A Decision Tree Analysis," Review of Economic Analysis, Digital Initiatives at the University of Waterloo Library, vol. 7(2), pages 135-156, December.

    Cited by:

    1. Liu, Chang & Hu, Zhenhua & Li, Yan & Liu, Shaojun, 2017. "Forecasting copper prices by decision tree learning," Resources Policy, Elsevier, vol. 52(C), pages 427-434.
    2. Rhea Choudhary, 2022. "Analysing the spillover effects of the South African Reserve Banks bond purchase programme," Working Papers 11025, South African Reserve Bank.
    3. Rhea Choudhary, 2022. "AnalysingthespillovereffectsoftheSouthAfricanReserveBanksbondpurchaseprogramme," Working Papers 11039, South African Reserve Bank.

  7. Ramaprasad Bhar & Malliaris & Mary Malliaris, 2015. "The impact of large-scale asset purchases on the S&P 500 index, long-term interest rates and unemployment," Applied Economics, Taylor & Francis Journals, vol. 47(55), pages 6010-6018, November.

    Cited by:

    1. Kai Zheng & Weidong Xu & Xili Zhang, 2023. "Multivariate Regime Switching Model Estimation and Asset Allocation," Computational Economics, Springer;Society for Computational Economics, vol. 61(1), pages 165-196, January.
    2. Sui, Jianli & Liu, Biying & Li, Zhigang & Zhang, Chengping, 2022. "Monetary and macroprudential policies, output, prices, and financial stability," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 212-233.
    3. Bhar, Ramaprasad & Malliaris, A.G., 2021. "Modeling U.S. monetary policy during the global financial crisis and lessons for Covid-19," Journal of Policy Modeling, Elsevier, vol. 43(1), pages 15-33.
    4. Anastasios G. Malliaris, 2018. "The Evolving Nature of Asset Price Bubbles, Financial Instability and Monetary Policy," Multinational Finance Journal, Multinational Finance Journal, vol. 22(1-2), pages 35-62, March - J.

  8. A. Malliaris & Mary Malliaris, 2013. "Are oil, gold and the euro inter-related? Time series and neural network analysis," Review of Quantitative Finance and Accounting, Springer, vol. 40(1), pages 1-14, January.
    See citations under working paper version above.
  9. Malliaris, M.E., 2012. "Comparison Of Currency Movement Before And After October 2008," The Journal of Economic Asymmetries, Elsevier, vol. 9(2), pages 45-57.

    Cited by:

    1. Serdar Neslihanoglu & Stelios Bekiros & John McColl & Duncan Lee, 2021. "Multivariate time-varying parameter modelling for stock markets," Empirical Economics, Springer, vol. 61(2), pages 947-972, August.

  10. Malliaris, A.G. & Malliaris, Mary E., 2008. "Investment principles for individual retirement accounts," Journal of Banking & Finance, Elsevier, vol. 32(3), pages 393-404, March.

    Cited by:

    1. Dirk Ulbricht, 2014. "John Doe's Old-Age Provision: Dollar Cost Averaging and Time Diversification," Discussion Papers of DIW Berlin 1376, DIW Berlin, German Institute for Economic Research.
    2. Dirk Ulbricht, 2013. "Stock Investments for Old-Age: Less Return, More Risk, and Unexpected Timing," Discussion Papers of DIW Berlin 1324, DIW Berlin, German Institute for Economic Research.
    3. Malliaris, Steven & Malliaris, A.G., 2021. "Delegated asset management and performance when some investors are unsophisticated," Journal of Banking & Finance, Elsevier, vol. 133(C).
    4. Angelidis, Timotheos & Tessaromatis, Nikolaos, 2010. "The efficiency of Greek public pension fund portfolios," Journal of Banking & Finance, Elsevier, vol. 34(9), pages 2158-2167, September.
    5. Malliaris, Steven & Malliaris, A.G., 2022. "Reprint of: Delegated asset management and performance when some investors are unsophisticated," Journal of Banking & Finance, Elsevier, vol. 140(C).

  11. M. E. Malliaris & S. G. Malliaris, 2008. "Forecasting inter-related energy product prices," The European Journal of Finance, Taylor & Francis Journals, vol. 14(6), pages 453-468.

    Cited by:

    1. Pala, Zeydin, 2023. "Comparative study on monthly natural gas vehicle fuel consumption and industrial consumption using multi-hybrid forecast models," Energy, Elsevier, vol. 263(PC).
    2. Li, Jinchao & Wu, Qianqian & Tian, Yu & Fan, Liguo, 2021. "Monthly Henry Hub natural gas spot prices forecasting using variational mode decomposition and deep belief network," Energy, Elsevier, vol. 227(C).
    3. Emmanouil Sofianos & Emmanouil Zaganidis & Theophilos Papadimitriou & Periklis Gogas, 2024. "Forecasting East and West Coast Gasoline Prices with Tree-Based Machine Learning Algorithms," Energies, MDPI, vol. 17(6), pages 1-14, March.
    4. Moting Su & Zongyi Zhang & Ye Zhu & Donglan Zha, 2019. "Data-Driven Natural Gas Spot Price Forecasting with Least Squares Regression Boosting Algorithm," Energies, MDPI, vol. 12(6), pages 1-13, March.

  12. Malliaris, A. G. & Mullady, Walter Sr. & Malliaris, M. E., 1991. "Interest rates and inflation : A continuous time stochastic approach," Economics Letters, Elsevier, vol. 37(4), pages 351-356, December.

    Cited by:

    1. Hakan Berument & Zubeyir Kilinc & Umit Ozlale, 2005. "The Missing Link Between Inflation Uncertainty And Interest Rates," Scottish Journal of Political Economy, Scottish Economic Society, vol. 52(2), pages 222-241, May.

Chapters

  1. A. G. Malliaris & Walter F. Mullady & M. E. Malliaris, 2005. "Interest rates and inflation: A continuous time stochastic approach," World Scientific Book Chapters, in: Economic Uncertainty, Instabilities And Asset Bubbles Selected Essays, chapter 4, pages 23-28, World Scientific Publishing Co. Pte. Ltd..
    See citations under working paper version above.Sorry, no citations of chapters recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-CMP: Computational Economics (1) 2011-12-19
  2. NEP-CWA: Central and Western Asia (1) 2011-12-19
  3. NEP-ENE: Energy Economics (1) 2011-12-19

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