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Islamic Monetary Economics and Institutions

Overview of attention for book
Cover of 'Islamic Monetary Economics and Institutions'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Monetary Economics and Macroeconomic Model for an Islamic Economy
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    Chapter 3 Islamic Monetary Economics: Insights from the Literature
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    Chapter 4 On Normative and Logical Foundations of Monetary Policy
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    Chapter 5 Historical and Ideological Peculiarity of the Monetary Institutions: Islamic and Austrian School’s Perspectives
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    Chapter 6 Islamic Finance and Participatory Financing Constraints in Pakistan
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    Chapter 7 Pricing Deposit Insurance Premium in Islamic Banks
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    Chapter 8 Rate of Profit as a Monetary Policy Tool for Financial Stability
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    Chapter 9 Stress Testing and Reverse Stress Testing: An Approach for a Resilient Islamic Financial Industry
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    Chapter 10 Liquidity Risk Management in Islamic Banks: Evidences from Malaysia
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    Chapter 11 Fintech-Enabled Islamic Financial System and Financial Stability
Attention for Chapter 2: Monetary Economics and Macroeconomic Model for an Islamic Economy
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Readers on

mendeley
16 Mendeley
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Chapter title
Monetary Economics and Macroeconomic Model for an Islamic Economy
Chapter number 2
Book title
Islamic Monetary Economics and Institutions
Published by
Springer, Cham, October 2019
DOI 10.1007/978-3-030-24005-9_2
Book ISBNs
978-3-03-024004-2, 978-3-03-024005-9
Authors

M. Fahim Khan

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 4 25%
Student > Master 2 13%
Student > Doctoral Student 1 6%
Unspecified 1 6%
Unknown 8 50%
Readers by discipline Count As %
Economics, Econometrics and Finance 3 19%
Social Sciences 2 13%
Business, Management and Accounting 2 13%
Unspecified 1 6%
Unknown 8 50%

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