Index

Uncertainty and Challenges in Contemporary Economic Behaviour

ISBN: 978-1-80043-096-9, eISBN: 978-1-80043-095-2

Publication date: 25 September 2020

This content is currently only available as a PDF

Citation

(2020), "Index", Özen, E. and Grima, S. (Ed.) Uncertainty and Challenges in Contemporary Economic Behaviour (Emerald Studies in Finance, Insurance, and Risk Management), Emerald Publishing Limited, Leeds, pp. 285-292. https://doi.org/10.1108/978-1-80043-095-220201019

Publisher

:

Emerald Publishing Limited

Copyright © 2020 Emerald Publishing Limited


INDEX

Note: Page numbers followed by “n” indicate foot notes.

Ability-signaling hypothesis
, 53–54

Accounting (see also Behavioral accounting)
, 78

system
, 80

Accounting decisions (see also Non-accounting decisions)
, 53–54

Agency theory
, 83, 118–119

AHP model
, 162

Akaike Information Criteria (AIC)
, 133–134

Anglo-Saxon Model
, 120

Anonymity hypothesis
, 56–57

ARAS method
, 162

Asset quality
, 164

Asymmetric causality test
, 146–147, 149–150

cointegration test
, 148–149

data, analysis, and findings
, 151–155

between developed and emerging markets
, 146

literature
, 147–148

methodology
, 148

Audit firms
, 54

Augmented Dickey Fuller test (ADF test)
, 66

findings
, 69

unit root test
, 67, 133, 152–153

Banking system
, 160

Banks
, 160

Banks Listed in Borsa Istanbul (BIST)
, 161

banks
, 160–161

data set
, 164–165

findings
, 170–175

GRA
, 165–168

limitations
, 179

literature review
, 161–164

results
, 175–179

TOPSIS
, 168–170

Behavioral accounting
, 78

agency theory
, 83

contingency approach
, 82

development
, 78–79

equality theory
, 81–82

expectation theory
, 81

factors influencing behavioral dimension of accounting
, 79–81

goal setting theory
, 82

neuroaccounting
, 84–86

private sector in Turkey
, 77

research in World and Turkey
, 83–84

theories in
, 81

Behavioral finance theory
, 128

Big-Four audit firms
, 54

“Bim” service
, 92

Bonus contract hypothesis
, 54–56

Borsa İstanbul manufacturing industry firms
, 38–39

Brazil, Russia, India, China and South Africa (BRICS)
, 23–24

Business
, 140

climate change disrupt business of bank’s customers
, 140–141

Capital

adequacy
, 164

flow
, 146

Capital Expenditure (CAPEX)
, 222

Capital expenditure to sales ratio (CAPEXS ratio)
, 223

Cash flow volatility (CFV) (see also Earnings volatility (EV))
, 218, 246

modelled impact on Maltese operational CFV
, 244–246

POMs for
, 255

reduction in
, 223–225

Causality analysis
, 152

Central Bank of Malta (CBM)
, 197

Chi-square (x2)

distribution
, 68

test statistics
, 25

Climate change
, 139

confusing regulators
, 143

damaging physical collateral
, 140

disrupt business of bank’s customers
, 140–141

disrupt operations of financial institutions
, 140

effect on financial sector
, 139–140

effect on financial system
, 142

harsher working conditions
, 141

higher disclosure requirement and costs
, 142

increased insurance premiums and reduction in coverage
, 141

leading to capital flight
, 143

loss of office branch networks
, 142

severe climate change leading to increased insurance claims and liabilities
, 141

uncertainty destabilizes financial markets
, 143

Cluster

analysis
, 3, 7–8

sampling
, 8

Collaborative intervention theory of financial inclusion
, 101

Collapse avoidance hypothesis
, 57–58

Collective Investment Schemes
, 230

Commodity price risk (CPR)
, 234

Community Echelon theory of financial inclusion
, 98–99

Confidence
, 129–130

indices
, 128–129, 132

Consumption price index (CPI)
, 25

Continental Europe Model
, 120

Contingency approach
, 82

Corporate governance
, 119–120

models
, 123–124

Corporate risk management
, 218

Costs of financial distress (CFD)
, 220

Country-level investor protection
, 120

Crash model
, 25

Critical mass of operations
, 226–227

Culture
, 79

shock
, 199

Cumulative logit link function
, 224

Cumulative seasonal decomposition method
, 151

Customs
, 279–282

Data

pre-processing
, 166

set
, 164–165

Decision(s)
, 80

decision-making process
, 160

matrix
, 166

Derivative hedging instruments (DHIs)
, 218

accounting treatment applied for DHIs and Hedging relationships
, 242–243

comparison of results with previous studies and deliberation
, 246–249

descriptive statistics pertaining to variables
, 238

determinants of Maltese DHI usage
, 236

impact on DHI usage and HA on local earnings and operational CFV captures
, 243

Mann–Whitney-U test outcomes
, 239

modelled impact on Maltese EV
, 243–244

modelled impact on Maltese operational CFV
, 244–246

number of DHI identifications
, 237

prevalence of Maltese DHI usage
, 232–236

rationale for DHI usage
, 219–220

significant determinants at individual proxy variable level
, 240

significant determinants resultant from Logit model
, 240–242

Dickey–Fuller-Generalized Least Squares unit root test (DF-GLS unit root test)
, 152–153

Direct fixed capital investment (GSSO)
, 66, 68

Dow Jones Industrial Average index (DJIA index)
, 148, 151, 153–155

Earnings volatility (EV) (see also Cash flow volatility (CFV))
, 218, 224

POMs for
, 255

reduction in
, 223–225

Economic

agents
, 22

confidence index
, 129

efficiency
, 277

indicators
, 128

migration indicators
, 3

sensitivity index
, 130

Economic policy uncertainty index (EPU index)
, 22, 32

Effective hedgers (EH)
, 227n10

Equality

in taxation
, 277

theory
, 81–82

Error correction models (ECM)
, 63, 134

Ethical understanding
, 81

European Economic and Social Committee (EESC)
, 198

European Markets Infrastructure Regulation (EMIR)
, 230

European Parliament (EP)
, 196

European Securities and Markets Authority (ESMA)
, 230

European Union (EU)
, 277

immigration cluster analysis results
, 9–12

progress report for Kosovo
, 279–282

Facial Coding (FaCs)
, 85

Filipino live-in care workers in Malta
, 198

choosing Malta
, 201–204

contextual setting
, 197–199

life beyond work
, 210–211

methodology
, 199–201

motivation and employer’s relations
, 207–208

social integration
, 208–210

working conditions
, 204–207

Filipino migrant community
, 197

Final prediction error (FPE)
, 133–134

Financial Crisis Inquiry Commission (FCIC)
, 186–187

Financial inclusion
, 90

case studies
, 104–105

empirical data
, 104

foundations
, 91–93

theories of financial inclusion beneficiary
, 93–98

theories of financial inclusion delivery
, 98–102

theories of financial inclusion funding
, 102–104

theory in
, 90–91, 109–115

Financial/finance

climate change disrupt operations of financial institutions
, 139–140

entity
, 230n12

information
, 160

integration
, 146

literacy theory of financial inclusion
, 101–102

markets
, 146

policy
, 62

potential costs of financial distress
, 220–222

reporting
, 49, 51

skills
, 50

stem
, 142

system regulators
, 143

Foreign currency risk (FCR)
, 234

Forensic accounting theory (see also Behavioral accounting)
, 49–50, 52–53

ability-signaling hypothesis
, 53–54

accounting decisions
, 53

literature review
, 50–52

materiality hypothesis
, 53

non-accounting decisions
, 54–58

Fraud

detection
, 49–50, 52

schemes
, 51

Functional magnetic resonance imaging (fMRI)
, 85

G2P social cash transfer
, 96

Galvanic skin response (GSR)
, 85

Gearing ratio (GR)
, 222

Global financial crisis (2008)
, 22–23, 62

on cause of crisis
, 186–187

liquidity
, 191

long before financial crisis
, 185–186

preparing for next
, 192–193

questioning economics profession
, 190–191

reflections after financial crisis
, 188–189

rethinking economics of financial regulation
, 189–190

shortly before and during
, 186

Sober reflection
, 193

Global risk perception
, 23, 25, 29

Goal setting theory
, 82

Granger casualty/causality test
, 64–65, 135

Gray relational analysis models (GRA models)
, 161, 165–168, 173–174

Gray relational coefficient matrix
, 167

Gross domestic product (GDP)
, 6, 63

per capita
, 7

Hannan Quinn criteria (HQ)
, 133–134

Hatemi-J asymmetric causality test
, 154

Hedge accounting models (HA models) (see also Behavioral accounting)
, 218–219

impact on local earnings and operational CFV captures
, 243

reporting volatility reduction and adoption of HA regime
, 227–228

Hedge fund activism
, 120–122

Hedging
, 218

characteristics of DHI users
, 219–220

data and sampling frame
, 230

derivatives
, 220

detailed variable descriptions
, 256–257

determinants of Maltese DHI usage
, 236–249

effective reduction of entity’s corporate tax rate
, 220–222

explanatory note on use of POMs for EV and CFV
, 255

firms
, 227

HA models
, 218–219

hypothesis formulation for factors affecting Maltese entities’ DHI usage
, 220

mitigating inefficient investment
, 222

mitigation of agency problem and critical mass of operations
, 226–227

model specifications
, 230–232

non-normality of data collected for variables under study
, 254

parsimonious model selection
, 253

potential costs of financial distress
, 220–222

prevalence of Maltese DHI usage
, 232–236

reduction in EV and CFV
, 223–225

reporting volatility reduction and adoption of HA regime
, 227–228

research findings and deliberation
, 232

research methodology outline
, 228–230

Humanitarian migration (see also International migration)
, 14

indicators
, 3

IMF Report for Kosovo 2018
, 282

Immigration
, 197

Impulse–response functions
, 33

Imputed tax rate (ITR)
, 221

Income tax rate (ITR)
, 220

Income–expenditure structure
, 164

Index returns of developed markets
, 146

Indian stock market
, 148

Industry/industrial production index (IP)
, 25, 66

Ineffective hedgers and speculators (IS)
, 227n10

“Inferior” taxes
, 276

Inflation
, 29

Insolvency rules
, 40

Interbank (I)
, 25

rate
, 33

settlement infrastructure
, 142

Interest channel of monetary transmission mechanism
, 62

Interest coverage ratio (ICR)
, 39, 42–44

Interest rate risk (IRR)
, 218, 234

Interest rates
, 66, 129–131

International Labour Organisation (ILO)
, 196

International migration
, 2–4

data–selected indicators
, 6–7

EU-10 immigration cluster analysis results
, 9–12

indicators
, 6

research methods
, 7–9

SEM models and results
, 12–19

theoretical approaches of
, 4–6

International Organization for Migration (IOM)
, 4

Investors
, 160

aim of study
, 131

data methodology and findings
, 131–136

hypotheses
, 131

literature
, 129–131

sentiment
, 128–129

Irrational behavior of investors
, 128

Jarque–Bera coefficient
, 132, 151

Johansen cointegration
, 149, 153

analysis
, 134

test
, 148, 154

Juselius cointegration method
, 149, 153

“Just Vote No” campaigns
, 123

Kosovo’s fiscal policies and tax system

changes in fiscal system in
, 278–279

contemporary requirements set out in field of taxation and EU
, 275–277

EU progress report for
, 279–282

IMF Report for Kosovo 2018
, 282

literature review
, 275

tax system in EU
, 277–278

VAT
, 274–275

Kurtosis coefficient
, 152

Labour code
, 205

Lee–Strazicich unit root test
, 25–28

Legal Entity Identifier (LEI)
, 230

Likelihood Ratio (LR)
, 133–134

Liquidity
, 164, 191

Live-in care workers
, 196

Logit model
, 229, 240–242

explaining Maltese DHI usage
, 230–231

M-Pesa
, 92

Macroeconomic

policy uncertainty
, 22

variables
, 129

Malta Stock Exchange (MSE)
, 227

Mann–Whitney-U test
, 229, 240

Market

participants
, 128

price of banks
, 160

Materiality hypothesis
, 53

MAUT method
, 162

Maximum likelihood estimation method (MLE method)
, 9, 134

Micro entrepreneur actors

entrepreneurship activities of
, 263–264

infrastructure regulations for economic activities of
, 264

solutions for rehabilitation of economic activities of
, 264–265

Micro entrepreneurship
, 260

Migration
, 2, 4

integrative study
, 3

Mobile technology
, 93

“Modelo Peru”
, 92

Monetary policy
, 22, 62

Monetary transmission mechanism
, 62–63

ADF unit root test
, 67

data series
, 66

findings of ADF unit root test
, 69

findings of unit root test with Zivot–Andrews structural breakup
, 69–70

literature review
, 63–66

stability analysis
, 66

Toda–Yamamoto causality test
, 68, 70–72

in Turkey-based study
, 66

Zivot and Andrews unit root test
, 68

Morgan Stanley Capital International Emerging Market Index (MSCI Emerging Market Index)
, 151, 153

Multiple criteria decision making methods (MCDM methods)
, 161–162, 165

‘Nagelkerke Pseudo-R2’ model
, 231

National Statistics Office (NSO)
, 206

Natural hedging techniques
, 218

Negative shocks
, 149–150

Neuroaccounting
, 84–86

Neuromarketing
, 86

Non-accounting decisions
, 54

anonymity hypothesis
, 56–57

bonus contract hypothesis
, 54–56

collapse avoidance hypothesis
, 57–58

Non-contractual hedging techniques
, 218

Non-normality of data collected for variables under study
, 254

Non-parametric statistical hypothesis tests
, 229n11

Non-zombie firms
, 45

“One-share, one-vote” principle
, 119

One-way Mann–Whitney-U hypothesis tests
, 229

Ordered logit model
, 230–231

Organizational culture
, 80

Pakistan Stock Exchange (PSX-100)
, 148

Parsimonious logit model
, 231

Phillips–Perron unit root test (PP unit root test)
, 133

PMJDY scheme
, 92

Policy

resolutions
, 62

uncertainty
, 22–23

Positron emission tomography (PET)
, 85

PPE to sales Ratio (PPES Ratio)
, 223

Profitability ratios
, 163–164

Property plant and equipment (PPE)
, 222

Proportional odds model (POM) (see also Structural equation modelling (SEM))
, 229–231

for EV and CFV
, 255

for Maltese EV
, 232

for Maltese operational CFV
, 232

Re-finance
, 38

Real effective exchange rate index (REER)
, 25

Real gross domestic product (RGDP)
, 66

Reference serial matrix
, 166

Registrar of Companies (RoC)
, 230

Risk
, 218

management
, 218

SAW method
, 162

Say-on-Pay reforms
, 123

Schwarz Bayesian data criteria (SBC)
, 70

Schwarz criteria (SC)
, 133–134

Seemingly Unrelated Regression method (SUR method)
, 71

Shareholder activism
, 118–120, 123–124

corporate governance models and shareholder activism
, 123–124

hedge fund activism
, 120–122

“just vote no” campaigns
, 123

say-on-pay
, 123

shareholder proposals
, 122

types
, 120

Shareholder proposals
, 122

Social integration
, 208–210

Social isolation
, 199

Social wellbeing
, 197

Society
, 92, 96–97

Steady state typography (SST)
, 85

Stock returns
, 163

Street economy
, 260–261

in sustaining urban life esthetics and ergonomics
, 261–263

Structural equation modelling (SEM)
, 3, 7, 9

models and results
, 12–15

results for EU-10 countries
, 18–19

Structural VAR analysis (SVAR analysis)
, 64

Sustainable economic development
, 274–275, 277

Tax
, 276

administration
, 275

changes in fiscal system in Kosovo
, 278–279

in EU
, 277–278

harmonization
, 276

neutrality
, 276

reforms
, 275

revenues
, 274

system
, 275

Taxation
, 275–276, 282

Theory of ‘Psychological Contract’
, 199

Threshold VAR method (TVAR method)
, 23–25

Toda–Yamamoto

causality test
, 68, 70–72

method
, 64–65

Todim Fuzzy method
, 162

TOPSIS method
, 161, 162, 165, 168–171

Traditional accounting
, 79

Traditional finance theory
, 128

Turkey

behavioral accounting research in
, 83–84

Turkish economy
, 65, 129

Uncertainty
, 22, 24, 218

destabilizing financial markets
, 143

United Nations High Commissioner for Refugees (UNHCR)
, 7

Urban culture
, 269

Urban life esthetics, street economy in sustaining
, 261–263

US Economic Policy uncertainty impact on developing countries

data and methodology
, 24–25

empirical results
, 25–33

literature
, 23–24

policy uncertainty
, 22–23

US stock markets
, 148

Vector autoregression model (VAR model)
, 63–64, 134, 148, 150, 153

Vector error correction model (VECM)
, 134–135

Volatility clustering
, 223

Volunteering
, 209

Zero hypothesis
, 134

Ziraat Bank
, 161–162

Zivot and Andrews unit root test
, 68

with Zivot–Andrews structural breakup
, 69–70

Zombie firms
, 38–39

literature review for
, 39–42

methodology
, 42–44

results
, 44–46

Prelims
Chapter 1: Challenges and Perspectives of International Migration in Europe within the Brexit Framework
Chapter 2: The Impact of US Economic Policy Uncertainty on Developing Countries Under Different Economic Cycles: A Nonlinear Approach
Chapter 3: The Investigation of Zombie Firms’ Existence in Borsa İstanbul Manufacturing Industry
Chapter 4: Forensic Accounting Theory
Chapter 5: Econometric Analysis for the Period Between 2003 and 2018 as Regards the Functioning of Interest Channel of Monetary Transmission Mechanism in Turkey
Chapter 6: A Conceptual Framework for Behavioral Accounting
Chapter 7: Theories of Financial Inclusion
Chapter 8: Shareholder Activism: What Does It Refer to?
Chapter 9: Relationship Between Interest Rates, Exchange Rate and Investor Sentiment in Turkey
Chapter 10: Effect of Climate Change on Financial Institutions and the Financial System
Chapter 11: Testing for Asymmetric Causality Between Developed and Emerging Markets
Chapter 12: An Assessment for Financial Performance of Banks Listed in Borsa Istanbul By Multiple Criteria Decision Making
Chapter 13: 100 Quotes from the Global Financial Crisis: Lessons for the Future
Chapter 14: Labouring Behind Closed Doors: The Working and Living Conditions of Filipino Live-in Care Workers in Malta
Chapter 15: Too Small to Hedge? The Case for Derivatives Hedging for a Small Island State
Chapter 16: The Effect of Micro Entrepreneur Arrangements to City Culture in Terms of Urban Esthetics and Street Peace in the Urbanization Process
Chapter 17: A Study of Kosovo’s Fiscal Policies and Tax System: Key Issues to Align with European Standards
Index