Articles
Page 4 of 14
-
Citation: Financial Innovation 2023 9:119
-
Does financial development moderate the link between technological innovation and environmental indicators? An advanced panel analysis
This study analyzes the role of financial development (FD) on the impact of technological innovation (TI) on six environmental quality indicators for the 25 economies that are part of the Organization for Econ...
Citation: Financial Innovation 2023 9:112 -
Editor’s introduction
Citation: Financial Innovation 2023 9:118 -
Local digital lending development and the incidence of deprivation in Kenya
In the developing world, vulnerable communities often lack access to regular income sources to cope with unforeseen events. Recent advancements in financial technology have enabled microcredit to be delivered ...
Citation: Financial Innovation 2023 9:102 -
Governance of artificial intelligence applications in a business audit via a fusion fuzzy multiple rule-based decision-making model
A broad range of companies around the world has welcomed artificial intelligence (AI) technology in daily practices because it provides decision-makers with comprehensive and intuitive messages about their ope...
Citation: Financial Innovation 2023 9:117 -
Impact of sustainability on financial distress in the air transport industry: the moderating effect of Asia–Pacific
The tremendous impact of the coronavirus pandemic on the global aviation industry has led to many cases of airline financial distress and bankruptcy. The Asia–Pacific region (APAC) contains more than half of t...
Citation: Financial Innovation 2023 9:97 -
Private banking development in China under two organizational structures: Economic analysis from an organizational innovation perspective
This paper investigates optimal decisions for private banking development in China under two innovative organizational structures—the big retail mode (BRM) and the independent development mode (IDM). Under the...
Citation: Financial Innovation 2023 9:116 -
Open banking and inclusive finance in the European Union: perspectives from the Dutch stakeholder ecosystem
In the European Union (EU), the revised Payment Services Directive (PSD2) aims to provide more convenient and customized financial products through open banking (OB) platforms. However, little attention has be...
Citation: Financial Innovation 2023 9:111 -
Impact of trading hours extensions on foreign exchange volatility: intraday evidence from the Moscow exchange
Using transaction-level tick-by-tick data of same- and next-day settlement of the Russian Ruble versus the US Dollar exchange rate (RUB/USD) traded on the Moscow Exchange Market during the period 2005–2013, we...
Citation: Financial Innovation 2023 9:95 -
Robust monitoring machine: a machine learning solution for out-of-sample R\(^2\)-hacking in return predictability monitoring
Citation: Financial Innovation 2023 9:94 -
Predicting the returns of the US real estate investment trust market: evidence from the group method of data handling neural network
The Group Method of Data Handling (GMDH) neural network has demonstrated good performance in data mining, prediction, and optimization. Scholars have used it to forecast stock and real estate investment trust ...
Citation: Financial Innovation 2023 9:98 -
Latency arbitrage and the synchronized placement of orders
We argue that owing to traders’ inability to fully express their preferences over the execution times of their orders, contemporary stock market designs are prone to latency arbitrage. In turn, we propose a ne...
Citation: Financial Innovation 2023 9:99 -
Financial literacy, behavioral traits, and ePayment adoption and usage in Japan
This study investigates how financial literacy and behavioral traits affect the adoption of electronic payment (ePayment) services in Japan. We construct a financial literacy index using a representative sampl...
Citation: Financial Innovation 2023 9:101 -
Diversification evidence of bitcoin and gold from wavelet analysis
To measure the diversification capability of Bitcoin, this study employs wavelet analysis to investigate the coherence of Bitcoin price with the equity markets of both the emerging and developed economies, con...
Citation: Financial Innovation 2023 9:100 -
Editor’s introduction
Citation: Financial Innovation 2023 9:109 -
Artificial neural network analysis of the day of the week anomaly in cryptocurrencies
Anomalies, which are incompatible with the efficient market hypothesis and mean a deviation from normality, have attracted the attention of both financial investors and researchers. A salient research topic is...
Citation: Financial Innovation 2023 9:88 -
An impact assessment of the COVID-19 pandemic on Japanese and US hotel stocks
This study proposes two new regime-switching volatility models to empirically analyze the impact of the COVID-19 pandemic on hotel stock prices in Japan compared with the US, taking into account the role of st...
Citation: Financial Innovation 2023 9:87 -
Does country risk impact the banking sectors’ non-performing loans? Evidence from BRICS emerging economies
This study aims to fill the gap in the literature by specifically investigating the impact of country risk on the credit risk of the banking sectors operating in Brazil, Russia, India, China, and South Africa ...
Citation: Financial Innovation 2023 9:86 -
Intelligent design: stablecoins (in)stability and collateral during market turbulence
How does stablecoin design affect market behavior during turbulent periods? Stablecoins attempt to maintain a “stable” peg to the US dollar, but do so with widely varying structural designs. The spectacular co...
Citation: Financial Innovation 2023 9:85 -
Financial decision-making behaviors of Ethnic Tibetan Households based on mental accounting
Ethnic Tibetans (ETs) typically reside in the remote plateaus of China and possess strong cultural and spiritual values. Their financial decision-making is influenced by economic and physical factors, unique c...
Citation: Financial Innovation 2023 9:93 -
Dynamic connectedness and network in the high moments of cryptocurrency, stock, and commodity markets
This study examines the connectedness in high-order moments between cryptocurrency, major stock (U.S., U.K., Eurozone, and Japan), and commodity (gold and oil) markets. Using intraday data from 2020 to 2022 an...
Citation: Financial Innovation 2023 9:84 -
Sovereign default network and currency risk premia
We construct a sovereign default network by employing high-dimensional vector autoregressions obtained by analyzing connectedness in sovereign credit default swap markets. We develop four measures of centralit...
Citation: Financial Innovation 2023 9:83 -
Tail spillover effects between cryptocurrencies and uncertainty in the gold, oil, and stock markets
This study investigates tail dependence among five major cryptocurrencies, namely Bitcoin, Ethereum, Litecoin, Ripple, and Bitcoin Cash, and uncertainties in the gold, oil, and equity markets. Using the cross-...
Citation: Financial Innovation 2023 9:92 -
Bitcoin: a new proof-of-work system with reduced variance
Since its inception, bitcoin has used the popular consensus protocol proof-of-work (PoW). PoW has a well-known flaw: it distributes all rewards to a single miner (or pool) who inserts a new block. Consequently...
Citation: Financial Innovation 2023 9:91 -
Upside and downside correlated jump risk premia of currency options and expected returns
This research explores upside and downside jumps in the dynamic processes of three rates: domestic interest rates, foreign interest rates, and exchange rates. To fill the gap between the asymmetric jump in the...
Citation: Financial Innovation 2023 9:90 -
Return direction forecasting: a conditional autoregressive shape model with beta density
This paper derives a new decomposition of stock returns using price extremes and proposes a conditional autoregressive shape (CARS) model with beta density to predict the direction of stock returns. The CARS m...
Citation: Financial Innovation 2023 9:82 -
Social–financial approach for analyzing financial transitions
This study proposes a social-financial approach (SFA) to fill the methodological research gap in strategic policy design for managing financial transitions during social changes. The SFA seeks to characterize ...
Citation: Financial Innovation 2023 9:89 -
Blockchain-oriented approach for detecting cyber-attack transactions
With the high-speed development of decentralized applications, account-based blockchain platforms have become a hotbed of various financial scams and hacks due to their anonymity and high financial value. Fina...
Citation: Financial Innovation 2023 9:81 -
The aggregate and sectoral time-varying market efficiency during crisis periods in Turkey: a comparative analysis with COVID-19 outbreak and the global financial crisis
This study aims to examine the time-varying efficiency of the Turkish stock market’s major stock index and eight sectoral indices, including the industrial, financial, service, information technology, basic me...
Citation: Financial Innovation 2023 9:80 -
Intelligent option portfolio model with perspective of shadow price and risk-free profit
Since Markowitz proposed modern portfolio theory, portfolio optimization has been being a classic topic in financial engineering. Although it is generally accepted that options help to improve the market, ther...
Citation: Financial Innovation 2023 9:79 -
The role of natural resources in financial expansion: evidence from Central Asia
Central Asian States (CAS) have diverse natural resources. This research aims to shed light on the finance–natural resource’s association in the context of CAS namely Kazakhstan, Kyrgyzstan, Tajikistan, Turkme...
Citation: Financial Innovation 2023 9:78 -
Triggering economic growth to ensure financial stability: case study of Northern Cyprus
This study questions the importance of public debt in stable growth between 1980 and 2018, specifically, the Ricardian equivalence hypothesis and Keynesian view are questioned. This study used data obtained fr...
Citation: Financial Innovation 2023 9:77 -
Analysis of an event study using the Fama–French five-factor model: teaching approaches including spreadsheets and the R programming language
The current financial education framework has an increasing need to introduce tools that facilitate the application of theoretical models to real-world data and contexts. However, only a limited number of free...
Citation: Financial Innovation 2023 9:76 -
A new hybrid method with data-characteristic-driven analysis for artificial intelligence and robotics index return forecasting
Forecasting returns for the Artificial Intelligence and Robotics Index is of great significance for financial market stability, and the development of the artificial intelligence industry. To provide investors...
Citation: Financial Innovation 2023 9:75 -
Female directors in the boardroom and intellectual capital performance: Does the “critical mass” matter?
This research aims to investigate the influence of female directors on Intellectual Capital Performance (ICP) using a sample of manufacturing-listed companies in China. Our study investigates the link between ...
Citation: Financial Innovation 2023 9:74 -
Dynamic portfolio choice with uncertain rare-events risk in stock and cryptocurrency markets
In response to the unprecedented uncertain rare events of the last decade, we derive an optimal portfolio choice problem in a semi-closed form by integrating price diffusion ambiguity, volatility diffusion amb...
Citation: Financial Innovation 2023 9:73 -
Valuing options to renew at future market value: the case of commercial property leases
In this study, we develop and empirically test a valuation model for a commonly encountered option in office leases: a tenant’s option to renew at future market rent (a fair market value) with lease terminatio...
Citation: Financial Innovation 2023 9:70 -
Design of the contingent royalty rate as related to the type of investment
This study investigates the design of the royalty rate in a first-price auction across three types of investments: incremental and lumpy with or without an exogenously given intensity. A bidder’s investment co...
Citation: Financial Innovation 2023 9:69 -
Carbon emission trading system and stock price crash risk of heavily polluting listed companies in China: based on analyst coverage mechanism
This study reveals the inconsistencies between the negative externalities of carbon emissions and the recognition condition of accounting statements. Hence, the study identifies that heavily polluting enterpri...
Citation: Financial Innovation 2023 9:71 -
Editor’s introduction
Citation: Financial Innovation 2023 9:72 -
A multidimensional review of the cash management problem
In this paper, we summarize and analyze the relevant research on the cash management problem appearing in the literature. First, we identify the main dimensions of the cash management problem. Next, we review ...
Citation: Financial Innovation 2023 9:67 -
Effects of ambiguity on innovation strategies
Technological innovations significantly influence individual firms and other innovations, such as financial innovations. The future of a firm depends on its innovation investment strategy. According to the lit...
Citation: Financial Innovation 2023 9:68 -
Online payment fraud: from anomaly detection to risk management
Online banking fraud occurs whenever a criminal can seize accounts and transfer funds from an individual’s online bank account. Successfully preventing this requires the detection of as many fraudsters as poss...
Citation: Financial Innovation 2023 9:66 -
Blockchain technology-based FinTech banking sector involvement using adaptive neuro-fuzzy-based K-nearest neighbors algorithm
The study aims to investigate the financial technology (FinTech) factors influencing Chinese banking performance. Financial expectations and global realities may be changed by FinTech’s multidimensional scope,...
Citation: Financial Innovation 2023 9:65 -
Is a correlation-based investment strategy beneficial for long-term international portfolio investors?
Using negative to low-correlated assets to manage short-term portfolio risk is not uncommon among investors, although the long-term benefits of this strategy remain unclear. This study examines the long-term b...
Citation: Financial Innovation 2023 9:64 -
The predictive power of Bitcoin prices for the realized volatility of US stock sector returns
This paper is motivated by Bitcoin’s rapid ascension into mainstream finance and recent evidence of a strong relationship between Bitcoin and US stock markets. It is also motivated by a lack of empirical studi...
Citation: Financial Innovation 2023 9:62 -
Fundamental and speculative components of the cryptocurrency pricing dynamics
The driving forces behind cryptoassets’ price dynamics are often perceived as being dominated by speculative factors and inherent bubble-bust episodes. Fundamental components are believed to have a weak, if an...
Citation: Financial Innovation 2023 9:61 -
Smart cities from low cost to expensive solutions under an optimal analysis
This scientific approach mainly aims to develop a smart city/smart community concept to objectively evaluate the progress of these organizational forms in relation to other classical/traditional forms of city ...
Citation: Financial Innovation 2023 9:60 -
Understanding the adoption context of China’s digital currency electronic payment
Central banks worldwide have started researching and developing central bank digital currencies (CBDCs). In the digital economy context, concerns regarding the integrity, competition, and privacy of CBDC syste...
Citation: Financial Innovation 2023 9:63 -
A model-free approach to do long-term volatility forecasting and its variants
Volatility forecasting is important in financial econometrics and is mainly based on the application of various GARCH-type models. However, it is difficult to choose a specific GARCH model that works uniformly...
Citation: Financial Innovation 2023 9:59
Follow
- ISSN: 2199-4730 (electronic)