scholarly journals Meramal Krisis Keuangan di Indonesia

2015 ◽  
Vol 10 (1) ◽  
Author(s):  
Teguh Sihono

The policy makers in Indonesia is more Ad-hoc and myopic (the radar far) to make policy. With various models and methods can be made a prediction or forecast about the financial and banking crisis, and even can diagnose the health of can economy. The crisis that can accur in various parts of the world causing expert 1o try to find the cause, a common pattern (stylized facts) that is experts to developed a method to detect the financial crisis, it can even be used to see in the future economy performance. Crisis in Indonesia that occurred in 1971-1975 as the sample to predict a crisis of Indonesia in 1997 whose results were in general quite.There are several models developed to predict the financial crisis imn Indonesia include: parametric models/econometric models and non parametric, such as signals, the model logitlprobit, hybrid model that includes macro and micro prudential and artificial neural network model. Each using a similar indicator, only the number of indicators (its nodes) are indeed different.From the various models and methods developed, has the performance and results of analysis or early indicators are almost the same/similar and significant at 5% alpha level. It's just an early indicator of the difference and the probability that a crisis will occur when using a forecasting and prediction in outside sample. The performance of each model is adequate in terms of occurancy in predicting the probability of financial crisis in Indonesia. Early indicators are an important contribution in predicting the probability of financial crisis in Indonesia are: real exchange rate, fiscal deficit. the credit ratio to Gross Domestic Product (GOP, world oil prices, growth in export and import, government consumption, domestic Imterest rate spread is the interest rate "The Fed" (The Federal Reserve The Central Bank of The USA).

Author(s):  
Mathilde Pavis

Law experts have been actively looking for solutions within the law to control Deepfakes since their emergence in 2017. This article puts forward performers’ rights as a suitable regulatory tool for Deepfakes, defined as synthetic performances produced using artificial intelligence systems. In many respects, performers’ rights represent a more sophisticated response to the challenges posed by Deepfake technology compared to existing legal remedies and reform proposals introduced to regulate Deepfakes. In making its case for performers’ rights as suitable regulatory response to Deepfakes, this article uncovers a tension: performers’ rights are an attractive solution to regulate Deepfakes but this technology challenges their scope of application. This is because Deepfakes uses content protected by performers’ rights (performances) in a way unforeseen by intellectual property policy-makers at the time these rights were introduced into law. Despite this limitation, performers’ rights remain one of the most attractive legal remedies in regulating Deepfakes, if adequately reformed. This article proposes two routes for the reform of performers’ rights to address this gap. The first involves an ad hoc modification of performers’ rights to ensure that performances manipulated by Deepfakes are covered. The second and preferred recommendation replaces the regime of performers’ rights with a regime of performers’ copyright. This small, yet important, change in legal regimes can be the difference between piecemeal, uneven and, therefore, ineffective protection against unauthorized Deepfakes and a harmonized international approach to the technology.


2020 ◽  
Vol 14 (5) ◽  
pp. 779-794
Author(s):  
Umm E. Habiba ◽  
Shen Peilong ◽  
Wenlong Zhang ◽  
Kashif Hamid

Purpose The purpose of this paper is to investigate the cointegration and volatility spillover dynamics between the USA and South Asian stock markets, namely, India, Pakistan and Sri Lanka. The main objective of this study is to provide the knowledge about integration of financial market and volatility spillovers before, during and after global financial crisis to investors, fund managers and policy-makers. Design/methodology/approach The Johansen and Juselius cointegration test, Granger Causality test and bivaraite EGARCH model have been applied in this study to examine integration and volatility spillovers between selected stock markets. Findings The findings show that long-term integration between the USA market and South Asian emerging stock markets. It is found that USA stock market has causal relationship with emerging stock markets in short-term. The findings of EGARCH model reveal that asymmetric volatility spillover effects significant in all selected stock markets in pre, during and post-crisis periods. Furthermore, significant volatility spillover is found from stock markets of USA to all selected South Asian markets during and post-crisis periods. However, volatility spillovers from USA to India and Sri-Lanka markets are significant, while insignificant in case of Pakistani market in pre-crisis period. Overall, we find that returns and volatility spillover effects are higher in financial crisis period as compared to non-financial crisis period. Practical implications The findings of this paper have important implications for investors, portfolio managers and policy-makers. They can take potential benefits from international portfolio diversification by considering all these facts. The understanding and knowledge of across volatility transmission help them to maximize the gains from diversification and minimize the risk. Policy-makers can develop such strategies which protect the markets of these economies from future financial crisis. Originality/value Although in finance literature numerous studies have been conducted on integration between different stock markets, most of the studies investigated the integration and volatility spillovers between developed stock markets. However, many studies also analyzed the integration among emerging stock markets in literature review but it is hard to find studies in the context of South Asian stock markets on the effect of global financial crisis on stock markets. The main contribution of this study is to investigate the stock markets integration and volatility transmission between the USA and South Asia by considering the effect of recent 2007 US subprime financial crisis.


Author(s):  
Ramesh Chandra Das

The recent financial crisis of the USA and the associated Euro Zone crisis have opened the eyes of the global policy makers and managers of economies in the world in respect of exploring the factors behind it. The present study considers three principal indicators of development—growth, confidence, and governance—for a sample of eight countries with differences in developmental positions to examine whether there is any sort of causal relations among them. By applying the Granger causality test, it observes that in most of the countries, except Greece, there are missing linkages among the indicators in a gross sense. China and India with very poor levels of governance factor have grown at higher magnitudes.


Author(s):  
Jan M Keppel Hesselink

Topical analgesics are regarded as new inroads to treat peripheral neuropathic pain, with a number of advantages over oral treatments. Topical treatment reduces systemic induced side-effects and have good tolerability, without problems of misuse or abuse, or dependency. Furthermore, the onset of action is fast, mostly within 30 minutes. The mechanism of action of topical analgesics is either via transdermal delivery of the analgesic, or via intradermal mechanisms of action. In the latter case, plasma levels of analgesics in the blood are absent or very low. This perspective is missing in the approach of the ad hoc committee of the National Academies of Sciences, Engineering, and Medicine in the USA, installed by the FDA. In this short commentary, we plead for a more comprehensive approach of topical analgesics, including those formulations which explicitly are not based on transdermal penetration of the active pharmaceutical ingredient, but on intradermal mechanisms of action.


1989 ◽  
Vol 4 (1) ◽  
pp. 23-31 ◽  
Author(s):  
D. Kemali ◽  
M. Maj ◽  
B. Carpiniello ◽  
R.D. Giurazza ◽  
M. Impagnatiello ◽  
...  

Summary141 patients with an ICD-9 diagnosis of schizophrenic psychosis were followed up prospectively for 3 years in 7 Italian centres, representative of the different degrees of application of the psychiatric reform law (Law 180) passed in 1978. It was agreed that each centre would treat the patients according to its routine, and that all contacts with the patients and each intervention performed would be carefully recorded in an ad hoc schedule. The baseline evaluation of psychosocial adjustment was performed by the Disability Assessment Schedule (DAS), and this assessment was then repeated every 6 months during the follow-up period. At the end of this period, the rating on the DAS section 5 was taken as a global measure of patients’ psychosocial outcome. On a stepwise logistic regression analysis, 2 variables were found to be significantly predictive of psychosocial outcome, that is the use of social and/or vocational skills training (associated with a favourable outcome) and the number of days/year of full hospitalization (associated with a poor outcome). Trieste and Arezzo were the only centres in which a significant improvement of the score on some DAS subscales (namely, “occupational role, interest” and “social withdrawal”) was detected. In the whole patient sample, the difference between the final and the baseline score on these subscales correlated significantly with the number/year of outpatient contacts and of home visits. These findings confirm the favourable impact of the community-oriented care provided in some Italian centres on the Psychosocial outcome of schizophrenic patients.


2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Julia Carolin Seelandt ◽  
Katie Walker ◽  
Michaela Kolbe

Abstract Background The goal of this study was to identify taken-for-granted beliefs and assumptions about use, costs, and facilitation of post-event debriefing. These myths prevent the ubiquitous uptake of post-event debriefing in clinical units, and therefore the identification of process, teamwork, and latent safety threats that lead to medical error. By naming these false barriers and assumptions, the authors believe that clinical event debriefing can be implemented more broadly. Methods We interviewed an international sample of 37 clinicians, educators, scholars, researchers, and healthcare administrators from hospitals, universities, and healthcare organizations in Western Europe and the USA, who had a broad range of debriefing experience. We adopted a systemic-constructivist approach that aimed at exploring in-depth assumptions about debriefing beyond obvious constraints such as time and logistics and focused on interpersonal relationships within organizations. Using circular questions, we intended to uncover new and tacit knowledge about barriers and facilitators of regular clinical debriefings. All interviews were transcribed and analyzed following a comprehensive process of inductive open coding. Results In total, 1508.62 min of interviews (25 h, 9 min, and 2 s) were analyzed, and 1591 answers were categorized. Many implicit debriefing theories reflected current scientific evidence, particularly with respect to debriefing value and topics, the complexity and difficulty of facilitation, the importance of structuring the debriefing and engaging in reflective practice to advance debriefing skills. We also identified four debriefing myths which may prevent post-event debriefing from being implemented in clinical units. Conclusion The debriefing myths include (1) debriefing only when disaster strikes, (2) debriefing is a luxury, (3) senior clinicians should determine debriefing content, and (4) debriefers must be neutral and nonjudgmental. These myths offer valuable insights into why current debriefing practices are ad hoc and not embedded into daily unit practices. They may help ignite a renewed momentum into the implementation of post-event debriefing in clinical settings.


Forests ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 59
Author(s):  
Olivier Fradette ◽  
Charles Marty ◽  
Pascal Tremblay ◽  
Daniel Lord ◽  
Jean-François Boucher

Allometric equations use easily measurable biometric variables to determine the aboveground and belowground biomasses of trees. Equations produced for estimating the biomass within Canadian forests at a large scale have not yet been validated for eastern Canadian boreal open woodlands (OWs), where trees experience particular environmental conditions. In this study, we harvested 167 trees from seven boreal OWs in Quebec, Canada for biomass and allometric measurements. These data show that Canadian national equations accurately predict the whole aboveground biomass for both black spruce and jack pine trees, but underestimated branches biomass, possibly owing to a particular tree morphology in OWs relative to closed-canopy stands. We therefore developed ad hoc allometric equations based on three power models including diameter at breast height (DBH) alone or in combination with tree height (H) as allometric variables. Our results show that although the inclusion of H in the model yields better fits for most tree compartments in both species, the difference is minor and does not markedly affect biomass C stocks at the stand level. Using these newly developed equations, we found that carbon stocks in afforested OWs varied markedly among sites owing to differences in tree growth and species. Nine years after afforestation, jack pine plantations had accumulated about five times more carbon than black spruce plantations (0.14 vs. 0.80 t C·ha−1), highlighting the much larger potential of jack pine for OW afforestation projects in this environment.


2021 ◽  
Vol 186 (Supplement_1) ◽  
pp. 370-377
Author(s):  
Edward Chaum ◽  
Ernő Lindner

ABSTRACT Background Target-controlled infusion anesthesia is used worldwide to provide user-defined, stable, blood concentrations of propofol for sedation and anesthesia. The drug infusion is controlled by a microprocessor that uses population-based pharmacokinetic data and patient biometrics to estimate the required infusion rate to replace losses from the blood compartment due to drug distribution and metabolism. The objective of the research was to develop and validate a method to detect and quantify propofol levels in the blood, to improve the safety of propofol use, and to demonstrate a pathway for regulatory approval for its use in the USA. Methods We conceptualized and prototyped a novel “smart” biosensor-enabled intravenous catheter capable of quantifying propofol at physiologic levels in the blood, in real time. The clinical embodiment of the platform is comprised of a “smart” biosensor-enabled catheter prototype, a signal generation/detection readout display, and a driving electronics software. The biosensor was validated in vitro using a variety of electrochemical methods in both static and flow systems with biofluids, including blood. Results We present data demonstrating the experimental detection and quantification of propofol at sub-micromolar concentrations using this biosensor and method. Detection of the drug is rapid and stable with negligible biofouling due to the sensor coating. It shows a linear correlation with mass spectroscopy methods. An intuitive graphical user interface was developed to: (1) detect and quantify the propofol sensor signal, (2) determine the difference between targeted and actual propofol concentration, (3) communicate the variance in real time, and (4) use the output of the controller to drive drug delivery from an in-line syringe pump. The automated delivery and maintenance of propofol levels was demonstrated in a modeled benchtop “patient” applying the known pharmacokinetics of the drug using published algorithms. Conclusions We present a proof-of-concept and in vitro validation of accurate electrochemical quantification of propofol directly from the blood and the design and prototyping of a “smart,” indwelling, biosensor-enabled catheter and demonstrate feedback hardware and software architecture permitting accurate measurement of propofol in blood in real time. The controller platform is shown to permit autonomous, “closed-loop” delivery of the drug and maintenance of user-defined propofol levels in a dynamic flow model.


Author(s):  
Theresa Schäfer ◽  
Sebastian Utz

AbstractWe study the financial stability of Values-Based Banks (VBBs) and Global Systemically Important Banks (GSIBs), and how regulatory changes in the aftermath of the financial crisis affected bank stability. These two types of banks allow contrasting an environmental and social impact banking approach to a conventional one. VBBs exhibit significantly higher financial stability before and during the financial crisis. However, regulatory changes in the aftermath of the financial crisis requiring higher capital buffer, have significantly affected GSIBs and rendered the difference in stability levels insignificant.


2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Ye Emma Zohner ◽  
Jeffrey S. Morris

Abstract Background The COVID-19 pandemic has caused major health and socio-economic disruptions worldwide. Accurate investigation of emerging data is crucial to inform policy makers as they construct viral mitigation strategies. Complications such as variable testing rates and time lags in counting cases, hospitalizations and deaths make it challenging to accurately track and identify true infectious surges from available data, and requires a multi-modal approach that simultaneously considers testing, incidence, hospitalizations, and deaths. Although many websites and applications report a subset of these data, none of them provide graphical displays capable of comparing different states or countries on all these measures as well as various useful quantities derived from them. Here we introduce a freely available dynamic representation tool, COVID-TRACK, that allows the user to simultaneously assess time trends in these measures and compare various states or countries, equipping them with a tool to investigate the potential effects of the different mitigation strategies and timelines used by various jurisdictions. Findings COVID-TRACK is a Python based web-application that provides a platform for tracking testing, incidence, hospitalizations, and deaths related to COVID-19 along with various derived quantities. Our application makes the comparison across states in the USA and countries in the world easy to explore, with useful transformation options including per capita, log scale, and/or moving averages. We illustrate its use by assessing various viral trends in the USA and Europe. Conclusion The COVID-TRACK web-application is a user-friendly analytical tool to compare data and trends related to the COVID-19 pandemic across areas in the United States and worldwide. Our tracking tool provides a unique platform where trends can be monitored across geographical areas in the coming months to watch how the pandemic waxes and wanes over time at different locations around the USA and the globe.


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