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Alternative Assets and Cryptocurrencies

ISBN: 9783038979784 9783038979791 Year: Pages: 218 DOI: 10.3390/books978-3-03897-979-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Business and Management
Added to DOAB on : 2019-08-28 11:21:27
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Alternative assets such as fine art, wine, or diamonds have become popular investment vehicles in the aftermath of the global financial crisis. Correlation with classical financial markets is typically low, such that diversification benefits arise for portfolio allocation and risk management. Cryptocurrencies share many alternative asset features, but are hampered by high volatility, sluggish commercial acceptance, and regulatory uncertainties. This collection of papers addresses alternative assets and cryptocurrencies from economic, financial, statistical, and technical points of view. It gives an overview of their current state and explores their properties and prospects using innovative approaches and methodologies.

Currency Crisis

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ISBN: 9783039215782 9783039215799 Year: Pages: 126 DOI: 10.3390/books978-3-03921-579-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Economics
Added to DOAB on : 2019-12-09 11:49:15
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Financial crises are nothing new in the annals of history of the capitalistic path of economic development; indeed, they are part of business cycle. The theoretical basis for this is well entrenched in the concept of ‘Keynesian Cross’. Tales of crises date back centuries, but have taken a new turn as the race for more globalization goes on, which involves liberalizing trade and opening up the financial sector. This has made many nations vulnerable to crises that are likely to be repeated, perhaps frequently. Based on recent experience, warning signs can be seen in the dollar-centric exchange rate, which is the mainstay for the stability of the current global financial system. To a careful observer, there is clearly fatigue in the system.

Model-Based Tools for Pharmaceutical Manufacturing Processes

Authors: --- --- ---
ISBN: 9783039284245 9783039284252 Year: Pages: 188 DOI: 10.3390/books978-3-03928-425-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General) --- Therapeutics
Added to DOAB on : 2020-04-07 23:07:09
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The Special Issue on “Model-Based Tools for Pharmaceutical Manufacturing Processes” will curate novel advances in the development and application of model-based tools to address ever-present challenges of the traditional pharmaceutical manufacturing practice as well as new trends. This book provides a collection of nine papers on original advances in the model-based process unit, system-level, quality-by-design under uncertainty, and decision-making applications of pharmaceutical manufacturing processes.

Risk Measures with Applications in Finance and Economics

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ISBN: 9783038974437 9783038974444 Year: Pages: 536 DOI: 10.3390/books978-3-03897-444-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Business and Management
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Risk measures play a vital role in many subfields of economics and finance. It has been proposed that risk measures could be analysed in relation to the performance of variables extracted from empirical real-world data. For example, risk measures may help inform effective monetary and fiscal policies and, therefore, the further development of pricing models for financial assets such as equities, bonds, currencies, and derivative securities.A Special Issue of “Risk Measures with Applications in Finance and Economics” will be devoted to advancements in the mathematical and statistical development of risk measures with applications in finance and economics. This Special Issue will bring together the theory, practice and real-world applications of risk measures. This book is a collection of papers published in the Special Issue of “Risk Measures with Applications in Finance and Economics” for Sustainability in 2018.

Keywords

falsified products --- medication --- health risk --- low-income country --- regular vine copulas --- tree structures --- co-dependence modelling --- European stock markets --- carbon emissions --- fossil fuels --- crude oil --- coal --- low carbon targets --- green energy --- spot and futures prices --- Granger causality --- volatility spillovers --- quasi likelihood ratio (QLR) test --- diagonal BEKK --- full BEKK --- dynamic hedging --- socially responsible investment --- multivariate regime-switching --- time-varying correlations --- volatility transmission --- conscientiousness --- openness to experience --- perceived ease of use --- perceived usefulness --- online purchase intention --- dynamic conditional correlation --- generalized autoregressive score functions --- time-varying copula function --- CoVaR --- utility --- credit derivatives --- stochastic volatility --- asymptotic approximation --- risk aversion --- portfolio selection --- need hierarchy theory --- two-level optimization --- variance --- coherent risk measures --- probability of default --- bank risk --- banking regulation --- SYMBOL --- financial stability --- China’s food policy --- sustainable food security system --- japonica rice production --- two-level CES function --- technological progress --- Project Financing --- Mezzanine Financing --- option value --- Monte Carlo Simulations --- probabilistic cash flow --- optimizing financial model --- risks mitigation --- investment profitability --- financial hazard map --- random forests --- early warning system --- bank failure --- B-splines --- inflation forecast --- monthly CPI data --- out-of-sample forecast --- the sudden stop of capital inflow --- financial security --- the optimal scale of foreign exchange reserve --- utility maximization --- finance risk --- liquidity premium --- uncertainty termination --- investment horizon --- Amihud’s illiquidity ratio --- factor models --- diversification --- bank profitability --- bank risk --- dynamic panel --- European banking system --- sustainability of economic recovery --- Bayesian approach --- conjugate prior --- cartel --- leniency program --- policy simulation --- S&P 500 index options --- gain-loss ratio --- risk-neutral distribution --- binomial tree --- risk management --- market timing --- moving averages --- risk-free rate --- returns and volatility --- financial risk --- bankruptcy --- regression model --- sustainable development --- Slovak enterprises --- sentiment analysis --- polarity --- scientific verification --- emotion --- joy --- sadness --- climate change --- GMC --- VIX --- RV5MIN --- causal path --- ANN --- sovereign credit default swap (SCDS) --- emerging market --- markov regime switching --- credit risk --- risk assessment --- risk measures --- IPO underpricing --- financial crisis --- information asymmetry --- financial risks --- business groups --- financial performance --- group-affiliated --- institutional voids --- production frontier function --- stochastic frontier model --- specification testing --- wild bootstrap --- smoothing process --- empirical process --- simulations --- stakeholder theory --- sustainability --- risk --- social efficiency --- banking --- cooperative banks --- Data Envelopment Analysis (DEA) --- corporate sustainability --- news release --- stakeholder theory --- stock return volatility --- EGARCH-m --- life insurance --- term life insurance --- whole life insurance --- self-perceived health --- objective health status --- future health risk --- SHARE --- national health system

Advances in Hard-to-Cut Materials: Manufacturing, Properties, Process Mechanics and Evaluation of Surface Integrity

Authors: --- ---
ISBN: 9783039283545 9783039283552 Year: Pages: 222 DOI: 10.3390/books978-3-03928-355-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-04-07 23:07:09
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The rapid growth of modern industry has resulted in a growing demand for construction materials with excellent operational properties. However, the improved features of these materials can significantly hinder their manufacture and, therefore, they can be defined as hard-to-cut. The main difficulties during the manufacturing/processing of hard-to-cut materials are attributed especially to their high hardness and abrasion resistance, high strength at room or elevated temperatures, increased thermal conductivity, as well as resistance to oxidation and corrosion. Nowadays, the group of hard-to-cut materials is extensive and still expanding, which is attributed to the development of a novel manufacturing techniques (e.g., additive technologies). Currently, the group of hard-to-cut materials mainly includes hardened and stainless steels, titanium, cobalt and nickel alloys, composites, ceramics, as well as the hard clads fabricated by additive techniques. This Special Issue, “Advances in Hard-to-Cut Materials: Manufacturing, Properties, Process Mechanics and Evaluation of Surface Integrity”, provides the collection of research papers regarding the various problems correlated with hard-to-cut materials. The analysis of these studies reveals the primary directions regarding the developments in manufacturing methods, characterization, and optimization of hard-to-cut materials.

Applied Econometrics

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ISBN: 9783038979265 9783038979272 Year: Pages: 222 DOI: 10.3390/books978-3-03897-927-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Mathematics
Added to DOAB on : 2019-06-26 08:44:06
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Although the theme of the monograph is primarily related to “Applied Econometrics”, there are several theoretical contributions that are associated with empirical examples, or directions in which the novel theoretical ideas might be applied. The monograph is associated with significant and novel contributions in theoretical and applied econometrics; economics; theoretical and applied financial econometrics; quantitative finance; risk; financial modeling; portfolio management; optimal hedging strategies; theoretical and applied statistics; applied time series analysis; forecasting; applied mathematics; energy economics; energy finance; tourism research; tourism finance; agricultural economics; informatics; data mining; bibliometrics; and international rankings of journals and academics.

Keywords

inflation --- postage stamps --- price recovery --- historical time series --- EGARCH --- FHA loan --- home mortgage --- foreclosure --- default and prepayment --- unobserved heterogeneity --- duration models --- competing risks --- earnings forecasts --- earnings announcements --- financial markets --- financial analysts --- nonparametric time series modeling --- nonlinearity --- unified time series algorithm --- exploratory diagnostics --- control environment --- budgetary system and strategies --- operational control --- company performance --- economic growth --- economic freedom --- foreign direct investment --- panel data --- cash payments --- efficiency --- denomination range --- JEL Classification --- E42 --- E58 --- managing of financial health --- risk of bankruptcy --- prediction methods --- post-communist countries --- Misery Index --- inflation --- unemployment --- Probit and Logit models --- Okun’s law --- multivariate regression models --- heavy-tailed data --- Mahalanobis distances --- maximum likelihood estimator --- independent multivariate Student distribution --- uncorrelated multivariate Student distribution --- derivatives market --- economic development --- Granger-causality tests --- vector error correction model (VECM) --- DOLS --- FMOLS --- income inequality --- economic growth --- middle income countries --- Granger causality test --- system GMM --- oil price --- exchange rate --- trade balance --- cointegration --- frequency domain causality --- Nigeria --- Fama-French factor model --- market microstructure --- trading behavior --- panel data factor model --- social network model --- risk spillover --- abnormal returns

Trust Management: Key Factor of the Sustainable Organizations Embedded in Network

Authors: ---
ISBN: 9783039212330 9783039212347 Year: Pages: 396 DOI: 10.3390/books978-3-03921-234-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Economics
Added to DOAB on : 2019-08-28 11:21:27
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Nowadays, trust is an important determinant in the development of modern organizations. Not only is it becoming an increasingly important element of relationships between entities, but, above all, it positively influences the building of an organization's intellectual capital. This capital can be defined in different ways, but its definition always references elements that determine the potential of sustainable organizations, often in human, social, relational, organizational, and innovation dimensions. Trust is increasingly becoming the key determinant of this capital (Ko?uch, Lenart-Gansiniec, 2017). Trust also has a number of different definitions. However, the basis of many of these definitions is the building of relationships focused on developing some kind of individual or inter-organizational link. Organizational trust is a complicated concept, and it is the basis of all organized activities performed by people in the organization, largely because trust is needed to develop relationships with integrity and commitment. Thus, it is interesting to study the relationship between trust and the building of the intellectual capital of sustainable organizations. Indeed, intellectual capital plays a special role here. It is a guide and a platform for achieving not only a competitive advantage for the sustainable organization, but also a source of value creation in the short and long term. Thus, this strategic hybrid, composed of a business model, strategy, and business processes, is favorable to the development of intellectual capital (Jab?o?ski 2017). Trust is an element that ties this capital to relationships in business. Moreover, it has an integrated character (R.C. Mayer, J. H. Davis, F. D. Schoorman 1995). Assuming that, nowadays, the network paradigm is becoming increasingly important, it is worth asking how the mechanism of building trust-based intellectual capital in a sustainable organization functions as its key asset in the network environment.

Keywords

trust --- distrust --- control --- project success --- structural equation modeling (SEM) --- trust --- trust management --- logistics service providers --- supply chain management --- collaboration --- trust --- antibiotic resistance --- antibiotics --- cooperation --- large-scale collective action --- Sweden --- coordinating behavior --- trust management --- reciprocity types --- reciprocity-based trust --- inter-organizational exchange relationships --- sustainable relationships --- consumer trust --- CSR --- advertising --- ethical advertising --- shockvertising --- consumer behavior --- apology --- denial --- penance --- opportunistic behaviors --- trust repair --- subcontracting --- scenario-based experiments --- sustainability --- trust --- distress --- transport services --- road freight transport --- modal shift potential --- paradigm shift --- modeling --- prediction --- General Discriminant Analysis --- trust --- international joint venture --- third-country relocation --- foreign direct investment --- asset specificity --- institutional theory --- public collaborative networks --- multilevel research --- trust --- cooperation --- competition --- paradoxes --- trust --- M&A sustainability --- performance --- start-ups --- retained autonomy --- mixed-method research --- interpersonal trust --- sustainable organizations --- competences --- relations --- cooperation --- trust --- quality culture --- universities --- higher education institutions --- conceptual model --- trust --- collaboration --- virtual teams --- integrity --- ability --- online --- strategic hybrids --- business model --- strategy --- business processes --- strategic projects --- water supply companies --- trust --- trustworthiness --- distrust --- water cooperation --- competition --- complexity --- deep uncertainty --- risk perception --- Nzoia river basin --- water policy gaming --- public management --- public-social partnership --- public value --- co-innovation --- sustainability --- trust --- creative industry --- networking --- stakeholders --- DAG scheduling --- trusted entities --- heterogeneous --- MCTS --- cultural routes --- trust --- cooperation networks --- cultural heritage management

Sustainable Energy Systems: From Primary to End-Use

Authors: --- ---
ISBN: 9783039210961 9783039210978 Year: Pages: 314 DOI: 10.3390/books978-3-03921-097-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Physics (General)
Added to DOAB on : 2019-12-09 11:49:15
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This book focuses on sustainable energy systems. While several innovative and alternative concepts are presented, the topics of energy policy, life cycle assessment, thermal energy, and renewable energy also play a major role. Models on various temporal and geographical scales are developed to understand the conditions of technical as well as organizational change. New methods of modeling, which can fulfil technical and physical boundary conditions and nevertheless consider economic environmental and social aspects, are also developed.

Keywords

Active Disturbance Rejection Control --- Probabilistic Robustness --- Monte Carlo --- secondary air regulation --- areal grey relational analysis --- fuzzy rough set --- game theory --- AHP --- uncertainty analysis --- coal-fired power unit --- renewable energy --- biomass --- torrefaction --- grindability --- rotary reactor --- generation system scheduling --- integrated model --- basic plan for long-term electricity supply and demand --- forecasting model for electricity demand --- biomass --- Pinus pinaster --- fuel --- heating value --- fuelwood value index --- energy density --- ash recovery --- peach --- Energy Life-Cycle Assessment --- post-harvest --- fuzzy logic control --- artificial neural networks control --- tidal stream generator --- swell effect disturbance --- doubly fed induction generator --- maximum power point tracking --- capacity investment --- market power --- wind resources --- dynamic planning --- stochastic approach --- levelized cost of energy --- photovoltaic with energy storage system --- HOMER simulation --- LCOE comparison --- sensitivity analysis --- transient impact --- renewable energy source penetration --- power system stability --- robust optimization --- renewable energy --- flexibility --- deficit --- uncertainty --- flexible resource --- energy storage systems --- active power harmonics filter --- electrostatic devices --- hysteresis switching --- op-amp --- power electronics --- power supply reliability --- electricity --- manufacturing industry --- choice experiment --- willingness to pay --- nexus concept --- energy modelling --- resource efficiency --- renewable energy --- low-carbon economy --- forecasting --- multilayer perception --- photovoltaic --- sustainable energy --- pseudo-Huber loss --- energy from biomass --- textile industrial sector --- alternative energy --- SWOT analysis --- energy costs --- Internet of Things --- thermodynamic cycle concepts --- sustainability --- modified cycle concepts --- efficiency --- energy systems --- renewable energies --- wind power plants --- hollow rollers --- large bearings

Knowledge Manageation and Big Data: Implications for Sustainability, Policy Making and Competitiveness

Authors: ---
ISBN: 9783039280087 9783039280094 Year: Pages: 416 DOI: 10.3390/books978-3-03928-009-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Social Sciences --- Education
Added to DOAB on : 2020-01-07 09:21:22
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The evolution of knowledge management theory and the special emphasis on human and social capital sets new challenges for knowledge-driven and technology-enabled innovation. Emerging technologies including big data and analytics have significant implications for sustainability, policy making, and competitiveness. This edited volume promotes scientific research into the potential contributions knowledge management can make to the new era of innovation and social inclusive economic growth. We are grateful to all the contributors of this edition for their intellectual work. The organization of the relevant debate is aligned around three pillars: SECTION A. DATA, KNOWLEDGE, HUMAN AND SOCIAL CAPITAL FOR INNOVATION: We elaborate on the new era of knowledge types and the emerging forms of social capital and their impact on technology-driven innovation. Topics include: Social Networks; Smart Education; Social Capital; Corporate Innovation; Disruptive Innovation; Knowledge integration; Enhanced Decision-Making. SECTION B. KNOWLEDGE MANAGEMENT & BIG DATA ENABLED INNOVATION: In this section, knowledge management and big data applications and systems are presented. Selective topic include: Crowdsourcing Analysis; Natural Language Processing; Data Governance; Knowledge Extraction; Ontology Design Semantic Modeling SECTION C. SUSTAINABLE DEVELOPMENT: In the section, the debate on the impact of knowledge management and big data research to sustainability is promoted with integrative discussion of complementary social and technological factors including: Big Social Networks on Sustainable Economic Development; Business Intelligence

Keywords

innovation capability --- social capital --- knowledge creation --- human capital investment --- training --- education --- communication --- six sigma --- structural equation model --- leadership --- innovation performance --- knowledge sharing --- social capital --- project-based organization --- citizen-scientist --- climate change --- crowdsourcing --- MTurk --- social networks --- Twitter --- social networks --- big data --- big data analysis --- sustainable development --- text mining --- NLP --- technological information --- patent analysis --- text structure --- top management team --- strategic decision-making --- risk perception --- knowledge creation process --- process innovation capability --- product innovation capability --- sustainable competitive advantage --- data governance --- cloud computing --- cloud data governance --- taxonomy --- systematic review --- holistic --- text feature extraction --- patent analysis --- hybrid neural networks --- mechanical patent classification --- international technological collaboration --- IC manufacturing --- patent association analysis --- social network analysis --- collaboration network --- corporate sustainability --- business intelligence --- multi-dimensional data model --- key performance indicators --- knowledge assets --- knowledge embeddedness --- knowledge specificity --- disruptive innovation --- personalized business mode --- technology acceptance model --- user acceptance --- data analysis --- ontology design --- knowledge management --- heterogeneous architectures --- Big Data --- transformational training programs-TTP --- quality orientation of employees-QOE --- employee loyalty-EL --- universities --- Jordan --- administrative file --- administrative procedure --- sustainability --- open data --- linked data --- provenance --- RDF --- PROV-O --- P-PLAN --- big data --- visualizing --- intellectual structure --- big data environment --- co-citation network --- collaboration network --- sustainability --- bibliometric --- knowledge management --- keywords analysis --- intellectual structure --- emerging trends --- knowledge mapping --- new ventures --- internal social networks --- absorptive capacity --- innovation --- big data --- competitive advantage --- disruptive innovation --- human capital --- innovation --- knowledge management --- sustainability --- smart education --- social networks --- social media --- conceptual maturity model --- technology-enhanced learning process

Intelligent Optimization Modelling in Energy Forecasting

Author:
ISBN: 9783039283644 9783039283651 Year: Pages: 262 DOI: 10.3390/books978-3-03928-365-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2020-04-07 23:07:09
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Accurate energy forecasting is important to facilitate the decision-making process in order to achieve higher efficiency and reliability in power system operation and security, economic energy use, contingency scheduling, the planning and maintenance of energy supply systems, and so on. In recent decades, many energy forecasting models have been continuously proposed to improve forecasting accuracy, including traditional statistical models (e.g., ARIMA, SARIMA, ARMAX, multi-variate regression, exponential smoothing models, Kalman filtering, Bayesian estimation models, etc.) and artificial intelligence models (e.g., artificial neural networks (ANNs), knowledge-based expert systems, evolutionary computation models, support vector regression, etc.). Recently, due to the great development of optimization modeling methods (e.g., quadratic programming method, differential empirical mode method, evolutionary algorithms, meta-heuristic algorithms, etc.) and intelligent computing mechanisms (e.g., quantum computing, chaotic mapping, cloud mapping, seasonal mechanism, etc.), many novel hybrid models or models combined with the above-mentioned intelligent-optimization-based models have also been proposed to achieve satisfactory forecasting accuracy levels. It is important to explore the tendency and development of intelligent-optimization-based modeling methodologies and to enrich their practical performances, particularly for marine renewable energy forecasting.

Keywords

short-term load forecasting --- weighted k-nearest neighbor (W-K-NN) algorithm --- comparative analysis --- empirical mode decomposition (EMD) --- particle swarm optimization (PSO) algorithm --- intrinsic mode function (IMF) --- support vector regression (SVR) --- short term load forecasting --- crude oil price forecasting --- time series forecasting --- hybrid model --- complementary ensemble empirical mode decomposition (CEEMD) --- sparse Bayesian learning (SBL) --- multi-step wind speed prediction --- Ensemble Empirical Mode Decomposition --- Long Short Term Memory --- General Regression Neural Network --- Brain Storm Optimization --- substation project cost forecasting model --- feature selection --- data inconsistency rate --- modified fruit fly optimization algorithm --- deep convolutional neural network --- multi-objective grey wolf optimizer --- long short-term memory --- fuzzy time series --- LEM2 --- combination forecasting --- wind speed --- electrical power load --- crude oil prices --- time series forecasting --- improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) --- kernel learning --- kernel ridge regression --- differential evolution (DE) --- artificial intelligence techniques --- energy forecasting --- condition-based maintenance --- asset management --- renewable energy consumption --- Gaussian processes regression --- state transition algorithm --- five-year project --- forecasting --- Markov-switching --- Markov-switching GARCH --- energy futures --- commodities --- portfolio management --- active investment --- diversification --- institutional investors --- energy price hedging --- metamodel --- ensemble --- individual --- regression --- interpolation

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