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This study analyzes the impact of changes in bank capital on liquidity creation. More specifically, it tests “financial fragility – crowding out” and “risk absorption” hypotheses for Indian banks.

It uses the data of 136 listed and unlisted banks, ranging from the year 2000 to 2014. The analysis is based on panel data techniques.

There is negative relationship between narrow measure of bank liquidity creation and capital. Therefore, in the case of India, “financial fragility – crowding out” hypothesis holds for “cat nonfat” measure of liquidity creation. However, there is no relationship between “cat fat” measure of liquidity creation and capital, except for listed banks, and the banks in the pre-crisis period. In these two cases, “risk absorption” hypothesis holds. Furthermore, none of the hypotheses holds in the post-crisis period.

The higher capital requirements posed by the Basel III will result in lower on-balance-sheet liquidity creation, which may result in lower profitability for the banks. However, increase in capital does not affect off-balance-sheet liquidity creation, rather enhances it in case of listed banks. So, the managers may use risky off-balance-sheet liquidity creation to improve profitability. Therefore, the regulators must be vigilant to the off-balance-sheet activities of banks to avoid banking turmoil.

To the best of authors’ knowledge, this is the first study to explore which hypothesis regarding the relationship between bank capital and liquidity creation holds for Indian banks. It contributes to the existing literature by providing the empirical evidence that “financial fragility – crowding out” hypothesis holds for on-balance-sheet liquidity creation and “risk absorption” hypothesis holds for listed banks. It also points to the new direction that neither of the hypotheses holds in the post-crisis period in India.

The purpose of this paper is to present a critical review of a criterion of risk, created to assess the flood risk of the international heritage building. In order to evaluate this criterion, it was applied to a sample of Portuguese building heritage.

This effort will start with the definition of the most important historical buildings in Portugal, its location and a full study about its constitution considering not only the materials they are made to but also the layers and the influence of the porosity/porometry for the drying process. Then it will also crucial the classification of the flood risk occurrence having in mind the previous information. A mapping will be made with the classification here developed.

This work presents a critical review of the main information related with the Portuguese monuments classified as “National Monuments”. A new empirical model was proposed takes into account all of the factors defined as the most influent in flood risk determination. A risk map was created on the basis classification developed. It will be possible to observe that a significant amount of Portuguese monuments are classified as medium to high risk of flooding.

This paper presents a new methodology to analyse the flood risk of international heritage building. The main benefit of the work is that it discusses the importance architectural heritage and justifies the need to safeguard it from extreme climatic phenomena such as floods.

The purpose of this paper is to examine the effect of bank capital on liquidity creation. Especially, the authors test two competing hypotheses: the “risk absorption” hypothesis and the “financial fragility-crowding out” hypothesis that describe such association in the context of UK and French banking industry.

The authors use data collected from Bankscope for commercial banks pertaining to the aforementioned countries. The sample period ranges from 2000 to 2014. Liquidity creation was measured using a novel approach proposed by Berger and Bouwman (2007). This study uses the quantile regression (QR) and the instrumental variables QR, along with classical ordinary least squares (OLS) and panel regression, to deal with the mixed results reported by previous papers.

Using OLS and panel regression, the authors first find that bank capital negatively affects liquidity creation which supports risk absorption hypothesis. Second, the result from QR confirms the negative association between the aforementioned variables and shows that the effect is homogenous across quantiles of liquidity creation distribution. The result remains unchanged when using the QR with instrumental variables to address the potential problem of endogeneity.

This paper sheds more lights on the relationship between bank capital and liquidity creation by using a novel estimation approach based on the QR methodology.

Based on theories of organizational learning and strategic considerations, this study aims to develop a strategic contingency model for technology alliance and identify how alliance‐specific factors, strategic factors, and organizational capability factors influence firms to acquire competencies and competitive advantages through technology alliance.

A six‐page, 94‐item survey questionnaire was developed and mailed to top‐level managers of the semiconductor firms in Taiwan. A total of 63 valid responses were received.

The study results indicate that firms with higher absorption orientation, higher risk reduction orientation, higher R&D scale economy orientation, and higher top management team experiences tend to perform better in acquiring competitive advantages. In addition, the strategic fit between strategic factors, organizational capability factors and technology alliance choice could lead firms to better competitive advantage.

Although the results of this study are fruitful, several suggestions could be made for academicians and business practitioners. First, the respondent rate of this study is low and could be improved. Second, in addition to the strategic contingency model as developed in this study, more research factors could be further investigated. Third, more case studies could be conducted to reconfirm the results of this study.

The major contribution of this study is to investigate what critical factors would influence the choice of a technology alliance model, and what effects the influencing factors have on the relationship between a technology alliance model and the intended competency development. The results of this study provide very important references for academicians and practitioners to investigate the effectiveness of technology alliance.

The purpose of this paper is to select the best maintenance policy for different types of equipment of a manufacturer integrating the fuzzy analytic hierarchy process (FAHP) and the technique for order of preference by similarity to ideal solution (TOPSIS) models.

The decision hierarchy of this research includes three levels. The first level aims to choose the best maintenance policy for different types of equipment of an acid manufacturer. These equipment pieces include molten sulfur ponds, boiler, absorption tower, cooling towers, converter, heat exchanger and sulfur fuel furnace. The second level includes decision criteria of added-value, risk level and the cost. Lastly, the third level comprises time-based maintenance (TBM), corrective maintenance (CM), shutdown maintenance and condition-based maintenance (CBM) as four maintenance policies.

The best maintenance policy for different types of equipment of a manufacturer is the main finding of this research. Based on the obtained results, CBM policy is suggested for absorption tower, boiler, cooling tower and molten sulfur ponds, TBM policy is suggested for converters and heat exchanger and CM policy is suggested for a sulfur fuel furnace.

This research develops a novel model by integrating FAHP and an interval TOPSIS with concurrent consideration of added-value, risk level and cost to select the best maintenance policy. According to the highlights of the previous studies conducted on maintenance policy selection and related tools and techniques, an operative integrated approach to combine risk, added-value and cost with integrated fuzzy models is not developed yet. The majority of the previous studies have considered classic fuzzy approaches such as FAHP, FANP, Fuzzy TOPSIS, etc., which are not completely capable to reflect the decision makers’ viewpoints.

This paper proposes an objective metric to trigger bank recovery. Banks’ living wills involve both recovery and resolution. Since it may not always be clear when recovery plans or actions should be triggered, there is a role for an objective metric to trigger recovery.

We outline how such a metric could be constructed meeting criteria of adequate loss absorption; distinguishing between weak and sound banks; little susceptibility to manipulation; timeliness; scalable from the individual bank to the system.

We show how this would have worked in the UK, during 2007-2011.

This approach has the added advantage that it could be extended to encompass a whole ladder of sanctions of increasing severity as capital erodes.

The purpose of this paper is twofold: first, this paper measures how much liquidity is transformed by the US life insurance industry for the sample period; and Second, this study tests the “risk absorption” hypothesis and “financial fragility-crowding out” hypothesis to identify the impact of capital on liquidity creation in the US life insurance industry. In addition, a regression model is conducted to explore the relationship between liquidity creation and other firm characteristics.

In order to construct the liquidity creation measures, all assets and liabilities are classified as liquid, semi-liquid, or illiquid with appropriate weights to these classifications, which will then be combined to measure the amount of liquidity creation. In addition, a regression model is analyzed. The level of insurers’ liquidity creation is regressed on the capital ratio (surplus over total assets) and other financial and organizational variables to test two prevailing hypotheses.

This paper finds that the US life insurers de-create liquidity. The authors provide that the amount of liquidity de-creation is related to the size of insurers such that liquidity de-creation has increased as assets grow and that large insurers de-create most of liquidity. The US life insurance industry de-created $2.1 trillion in liquidity, i.e., 43 percent of total industry assets, in 2008. The empirical results support the “financial fragility-crowding out” hypothesis. Life insurers’ liquidity de-creation is mainly caused by the large portion of liquid assets, which is required by regulation and capital is not a main factor of liquidity de-creation.

There is no known study on the issue of liquidity creation by life insurers. Thus, the extent of liquidity creation by the life insurance industry, if any, is an empirical matter to investigate, but also an important matter to regulators and the academia since the products and business operations (e.g. asset portfolio and asset and liability management) of life insurers are different from those of property and liability insurers.

The purpose of this study is two‐fold. The first purpose is to properly measure the level of US property and liability (P/L) insurers liquidity creation, applying the liquidity creation measure developed by Berger and Bouwman. The second purpose is to identify factors affecting P/L insurers' liquidity creation using a regression. Particularly, this paper tests two competing hypotheses regarding the relationship between the level of capital and liquidity creation.

The paper calculates liquidity creation for the US P/L insurers. First, the paper categorizes all items in assets, liabilities and surplus into liquid, semi‐liquid, or illiquid. This process is based on the ease, cost, and time for insurers to meet their contractual obligation to obtain liquid funds or to pay off their liability. The paper also constructs the regression model to test the impact of insurers' surplus level on liquidity creation while controlling for the firm‐specific variables. The paper examines this relationship for the time period between 1998 and 2007.

Contrary to the study of depository institutions, the paper reports that P/L insurers are liquidity destroyers than liquidity creators. This paper also provides that liquidity destruction varies over time and differs among insurers in different size. The total amount of liquidity destruction ranges from 47 to 58 percent of insurer total asset. In addition, the results of a regression show that insurer capital is negatively related to the level of liquidity creation. This provides implications that insurers with lower level of capital face more regulatory requirements and are forced to meet liquidity demand more.

The level of liquidity creation and the trend of liquidity creation of P/L insurers are of particular interest to regulators and consumers because the level of liquidity creation as shown during the financial crisis has a significant adverse impact on the financial intermediaries.

The paper do not aware of any study that attempts to measure liquidity creation by insurers and its relationship with both organizational and financial characteristics. The paper reports that P/L insurers are, unlike depository institutions, liquidity destroyers. Whether or not P/L insurers create/destroy liquidity is an interesting economic question to shed light on the roles of P/L insurers as a financial intermediary.

The purpose of this paper is to find out the extent to which governments of the Gulf Cooperation Council (GCC) countries play a moderating role in the relationship between entrepreneurship and economic growth.

The study uses a 10-year time series (2006-2015) for six GCC countries: Bahrain, Kuwait, Oman, Qatar, Saudi Arabia and United Arab Emirates. Secondary sources of data were collected from The World Bank database, general available statistics on the GCC, the Global Entrepreneurship Index from the Global Entrepreneurship and Development Institute (GEDI) and the Global Entrepreneurship Monitor (GEM) database.

Results indicate that governmental support has a significant moderating effect on the relationship between entrepreneurship and economic growth in the GCC. Furthermore, the strongest indicators of entrepreneurial investments in the Gulf have been found to be risk capital and high growth, which indicate a rapid growth in entrepreneurial investments. The lowest scoring indicators were found to be technology absorption and innovation process.

Despite the necessary measures taken to assure standard results such as testing data validity, care should be taken when generalizing the research results mainly because the time series of the study (2006-2015) could have been affected by the International and Financial Crisis, though the study has taken this into consideration.

This study has clarified the significant role of GCC governments in moderating the relationship between entrepreneurship and economic growth. Thus, the findings of this study are important because they help the GCC governments recognize their significant role and hence to utilize this role by supporting new and existing entrepreneurs particularly through regulatory quality, risk capital, technology absorption and process innovation. Furthermore, this study proves the extent to which entrepreneurship can help enhance the GCC economic growth, hence elaborating the importance of the sustainable resource, such as the human capital, in achieving diversification of sources to move from an oil-based to a more diversified economy.

The precise relationships between neoliberalization, financialization, and rising risk are still being debated in the literature. This paper examines, and challenges, the Financial Instability Hypothesis (FIH) developed by Hyman Minsky and his adherents. In this perspective, the level of financial risk builds over time as participants orient their behavior in relation to assessments of past levels of risk performance, leading them to overly optimistic valuation estimates and increasingly risky behavior with each subsequent cycle. However, there are problems with this approach, and many questions remain, including how participants modify their exposure to risk over time, how risk is scaled, and who benefits from changes in exposure to risk. This paper examines such questions and proposes an alternate perspective on financial instability and risk, in light of the history of risk management within Canada’s housing finance sector. The rise of financialization in Canada has been accompanied by shifts in the sectoral and scalar locus of risk within the housing sector, from the federal state, to lower levels of government, third-sector organizations, and finally, private households. In each case, the transfer of risk has occurred as participants in each stage sought to reduce their own risk exposure in light of realistic and even pessimistic (not optimistic) expectations deriving from past exposure, contradicting basic assumptions of Minsky’s FIH. This is the process that has driven the neoliberalization of housing finance in Canada, characterized by the socialization of lender risk while households increasingly take on the financial and social risks relating to shelter.