scholarly journals Insurance and Banking Interconnectedness in Europe: The Opinion of Equity Markets

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Ken Nyholm
Keyword(s):  
Business Model ◽  
Equity Markets ◽  
Insurance Companies ◽  
Similar Degree ◽  
Causality Analysis ◽  
Short Term ◽  
Granger Causality Analysis ◽  
European Insurance ◽  
Financial Equity ◽  
Periods Of Stress

Conditional expected shortfalls calculated for European insurance companies and banks under stressed market conditions are shown to be of similar magnitudes. Measured at 95% and 99% stress levels, on data covering the period from 1995 to 2011, the equity-return tail losses of insurance undertakings and banks are indistinguishable. Granger causality analysis, on all pairs of banks and insurance companies included in the sample, shows that banks and insurance companies have equal propensity to cause each others price movements. Even though the business model of insurance undertakings is different from the business model typically applied by banks, and even though insurance companies are not depending to a similar degree on short term funding as banks, the empirical results indicate that the financial equity markets in Europe do not differentiate their trading of banks and insurance companies in periods of stress.

Tariffs and Trade Fluctuations: Does Protectionism Matter as Much as We Think?

1998 ◽  
Vol 52 (2) ◽  
pp. 421-440 ◽  
Author(s):  
William R. Thompson ◽  
Rafael Reuveny
Keyword(s):  
Granger Causality ◽  
Aggregate Data ◽  
Trade Volume ◽  
Causality Analysis ◽  
Short Term ◽  
Granger Causality Analysis ◽  
Mixed Support ◽  
Short And Long Term

Despite the widespread assumption that tariffs reduce trade volume in the short term, it is conceivable that long-term expansion and contractions in trade actually drive tariff levels. A Granger causality analysis performed on British, U.S., French, German, Japanese, and a systematic aggregate data on GDP-tariff levels encompassing the 1854–1990 period finds mixed support for both the short- and long-term interpretations. In general, the antecedence of trade on protectionism predominates over the antecedence of protectionism on trade. One implication is that the long-term context should not be ignored in analyzing short-term dynamics.

scholarly journals International Real Estate Review

2002 ◽  
Vol 5 (1) ◽  
pp. 40-60
Author(s):  
Hongyu Liu ◽  
◽  
Yun W. Park ◽  
Siqi Zheng ◽  
◽  
...  
Keyword(s):  
Economic Growth ◽  
National Economy ◽  
Chinese Economy ◽  
Causality Analysis ◽  
Short Term ◽  
Housing Investment ◽  
Granger Causality Analysis ◽  
Long Run ◽  
Short Run ◽  
The Stability

The importance of housing investment in the national economy and its rapid growth have become distinct characteristics of the Chinese economy in recent years. However, at the same time, there is a concern that the economic growth heavily dependent on housing investment may compromise the stability and the health of the national economy. Using Granger causality analysis, this paper examines the interaction between housing investment and economic growth as well as that between non-housing investment and economic growth. We find evidence that housing investment has a stronger short run effect on economic growth than non-housing investment. We also find that housing investment has a long run effect on economic growth while economic growth has a log run effect on both housing and non-housing investment. Our findings suggest that housing investment is an important factor for the short-term fluctuations of economic growth, with its growth stimulating the economic growth and its slumps leading to downside fluctuations.

Fraud and Bank Performance in Nigeria – Var Granger Causality Analysis

e-Finanse ◽  
2020 ◽  
Vol 16 (1) ◽  
pp. 20-26
Author(s):  
Taiwo A. Muritala ◽  
Muftau A. Ijaiya ◽  
Olatanwa H. Afolabi ◽  
Abdulrasheed B. Yinus
Keyword(s):  
Control Systems ◽  
Granger Causality ◽  
Internal Control ◽  
Banking Sector ◽  
Bank Performance ◽  
Causality Analysis ◽  
Vector Autoregressive ◽  
Granger Causality Analysis ◽  
Long Run ◽  
Multivariate Cointegration

AbstractThis paper examines the causality between fraud and bank performance in Nigeria over the period 2000-2016 for quarterly financial data using Johansen’s Multivariate Cointegration Model and Vector Autoregressive (VAR) Granger Causality analysis. The results show a long-run relationship between the variables. Bank performance was found to be linked to Granger fraud variables and vice versa at 10% significant level. This study reveals that there was a direct causal relationship between bank performance and fraud because increase in fraudulent activities in the banking sector leads to reduction in bank performance. Hence, this study recommends that internal control systems of banks should be strengthened so as to detect and prevent fraud. In this way, bank assets would be protected.

scholarly journals Health Insurance as a Healthcare Financing Mechanism in India: Key Strategic Insights and a Business Model Perspective

2021 ◽  
pp. 025609092110270
Author(s):  
Rohit Kumar ◽  
Aditya Duggirala
Keyword(s):  
Health Insurance ◽  
Business Model ◽  
Critical Success Factors ◽  
Success Factors ◽  
Insurance Industry ◽  
Insurance Companies ◽  
Healthcare Financing ◽  
Strategic Choices ◽  
Critical Success ◽  
Health Insurance Industry

This study provides strategic insights and a business model perspective on health insurance as a vehicle for financing healthcare. It uses both primary (expert interview) and secondary data to investigate the overall disease burden and healthcare industry trends and track healthcare financing through the health insurance mechanism in India. To identify the critical success factors and to gain a business model perspective within the health insurance industry, telephonic and face-to-face interviews were held with 27 experts in the healthcare, insurance, and strategic management field. The study’s findings suggest that the growth of health insurance as a healthcare financing mechanism in India has been challenged continuously and impacted by multiple changes in the health insurance and healthcare industry over the last decade. One of the critical challenges faced by insurance companies is the high incurred claim ratio. We find the Indian health insurance industry to be very competitive and that the focus on critical success factors can help insurance companies gain a competitive advantage. The health insurance business model is unique, with varying configurations, and broadly comprises strategic choices and consequences. In this article, drawing from the strategic management literature on the resource-based view (RBV) and insights gained from the interviews of healthcare and health insurance experts, we highlight the six critical success factors relevant for competing in the health insurance business. We also list five strategic choices that can help health insurance companies improve their profitability and gain a sustained competitive advantage. We recommend that the insurance companies design and develop an innovative business model centred around lowering the claim ratio and simultaneously increasing the customer willingness to pay. To increase the customer willingness to pay and reduce the claim ratio, the insurance companies should focus on the six critical success factors and invest in the five strategic choices.

scholarly journals Bayesian Based Granger Causality Analysis for Positive Emotional EEGs

2021 ◽  
Vol 168 ◽  
pp. S98
Author(s):  
Xiaohui Gao ◽  
Yinuo Zhang ◽  
Ke Liu ◽  
Yin Tian ◽  
Peiyang Li
Keyword(s):  
Granger Causality ◽  
Causality Analysis ◽  
Granger Causality Analysis

scholarly journals Preservation Effect: Cigarette Smoking Acts on the Dynamic of Influences Among Unifying Neuropsychiatric Triple Networks in Schizophrenia

2018 ◽  
Vol 45 (6) ◽  
pp. 1242-1250 ◽  
Author(s):  
Wei Liao ◽  
Yun-Shuang Fan ◽  
Siqi Yang ◽  
Jiao Li ◽  
Xujun Duan ◽  
...  
Keyword(s):  
Cigarette Smoking ◽  
Analysis Of Covariance ◽  
Neural Pathways ◽  
Healthy Controls ◽  
Causality Analysis ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Self Medication ◽  
Granger Causality Analysis ◽  
High Prevalence

Abstract Objective The high prevalence of cigarette smoking in schizophrenia (SZ) is generally explained by the self-medication theory. However, its neurobiological mechanism remains unclear. The impaired dynamic of influences among unifying neuropsychiatric triple networks in SZ, including the central executive network (CEN), the default mode network (DMN), and the salience network (SN), might explain the nature of their syndromes, whereas smoking could regulate the dynamics within networks. Therefore, this study examined whether cigarette smoking could elicit a distinct improvement in the dynamics of triple networks in SZ and associated with the alleviation of symptoms. Methods Four groups were recruited, namely, SZ smoking (n = 22)/nonsmoking (n = 25), and healthy controls smoking (n = 22)/nonsmoking (n = 21). All participants underwent a resting-state functional magnetic resonance imaging (fMRI). The dynamics among unifying neuropsychiatric triple networks were measured using Granger causality analysis on the resting-sate fMRI signal. Interaction effects between SZ and smoking on dynamics were detected using 2-way analysis of covariance, correcting for sex, age, and education level. Results Whereas smoking reduced SN→DMN dynamic in healthy controls, it preserved the dynamic in SZ, thus suggesting a preservation effect. Moreover, smoking additionally increased DMN→CEN dynamic in SZ. Conclusions This finding from neural pathways shed new insights into the prevailing self-medication hypothesis in SZ. More broadly, this study elaborates on the neurobiological dynamics that may assist in the treatment of the symptomatology of SZ.

scholarly journals Reserves of Motor-Vehicle Insurance in Finland

1962 ◽  
Vol 2 (1) ◽  
pp. 161-173 ◽  
Author(s):  
Teivo Pentikäinen
Keyword(s):  
Motor Vehicle ◽  
Insurance Companies ◽  
Accurate Calculation ◽  
Short Term ◽  
The Subject ◽  
Image Position ◽  
Premium Income ◽  
The Cost ◽  
Motor Vehicle Insurance ◽  
Cluster Points

The Ministry of Social Affairs, which acts i.a. as the supervising office in Finland, has given instructions regarding the normal reserves of insurance companies. A summary of these and some comments are given here as far as they concern motor-vehicle insurance. The instructions as far as they concern the subject referred to in the following in the items 2-6, 9 and 10, were compiled by a committee, presided over by Mr. I. Ketola, M. Sc, which availed itself of the experience of several Finnish insurance companies.In order to give a review of the system as a whole many items, which are mathematically trivial and well-known, are briefly explained.The conventional principle of “pro rata parte temporis” is followed, which leads to the well-known reserve where P is the premium income of the company. This provides that the days when the premiums fall due are approximately equally distributed over the year (which can be checked from the premium sums of the different months in the book-keeping) or at least have no cluster points in the second half of the year and that the cost of the collecting of premiums is not less than 0.2 P. A more accurate calculation takes into account i.a. temporary short term policies etc.In casu-reserve. All unpaid claims (except those mentioned later) due to accidents which occured before the end of the account year, are listed and rated one by one. Doubtful cases, e.g. where the cause of the accident is still under litigation, are calculated in accordance with the “worst” alternative.

Plasma volume during stress in man: osmolality and red cell volume

1979 ◽  
Vol 47 (5) ◽  
pp. 1031-1038 ◽  
Author(s):  
J. E. Greenleaf ◽  
V. A. Convertino ◽  
G. R. Mangseth
Keyword(s):  
Cell Volume ◽  
Plasma Volume ◽  
Heat Exposure ◽  
Plasma Osmolality ◽  
Red Cell ◽  
Short Term ◽  
Red Cell Volume ◽  
Altitude Exposure ◽  
Periods Of Stress

Our purpose was 1) to test the hypothesis that in man there is a range of plasma osmolality within which the red cell volume (RCV) and mean corpuscular volume (MCV) remain essentially constant and 2) to determine the upper limit of this range. During a variety of stresses--submaximal and maximal exercise, heat and altitude exposure, +Gz acceleration, and tilting--changes in plasma osmolality between -1 and +13 mosmol/kg resulted in essentially no change in the regression of percent change in plasma volume (PV) calculated from a change in hematocrit (Hct) on that calculated from a change in Hct + hemoglobin (Hb), i.e., the RCV and MCV were constant. Factors that do not influence RCV are the level of metabolism, heat exposure at rest, and short-term orthostasis (heat-to-foot acceleration). Factors that may influence RCV are exposure to high altitude and long-term orthostasis (head-up tilting). Factors that definitely influence RCV are prior dehydration and extended (greater than 2 h) periods of stress. Thus, either the Hct or the Hct + Hb equations can be used to calculate percent changes in PV under short-term (less than 2 h) periods of stress when the change in plasma osmolality is less than 13 mosmol/kg.

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