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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 study aims to explore macroeconomic and banking industry-specific determinants of non-performing loans (NPLs) for Chinese banks, spanning from 2005 to 2014.

It uses three different models to explore the determinants. The first model has only macroeconomic variables as regressors; the second model has only banking industry-specific variables as independent variables; and the third model has macroeconomic and banking industry-specific variables as explanatory variables. Furthermore, system generalized method of moments estimation technique has been used to measure the coefficients of independent variables.

Gross domestic product (GDP) growth rate, effective interest rate, inflation rate, foreign exchange rate, type of bank, bank risk-taking behavior, ownership concentration, leverage and credit quality are significant determinants of NPLs in Chinese banks. Furthermore, the determinants of NPLs for listed and unlisted banks differ. Determinants of NPLs of listed banks include GDP, bank risk-taking behavior and credit quality. However, variation in NPLs of unlisted banks is explained by GDP, inflation rate, foreign exchange rate, bank risk-taking behavior, leverage and credit quality.

This study also finds that using only macroeconomic or banking industry-specific variables as regressors is not a right approach because it may lead to erroneous conclusions.

The purpose of this paper is to explore the determinants of three different types of bank liquidity: funding liquidity, liquidity creation, and stock liquidity in emerging markets.

It uses an extensive set of data from all the listed banks of Brazil, Russia, India, China, and South Africa, collectively known as the BRICS countries, spanning the period 2002-2014. Multiple linear regression has been used to estimate the coefficients of the determinants.

In case of emerging markets, bank size is not a determinant of different types of liquidity, except funding liquidity. Besides, the recent financial crisis had an impact on funding liquidity as well as “cat nonfat” measure of liquidity creation but it did not affect “cat fat” measure and stock liquidity. The variation in funding liquidity is also explained by the profitability and the riskiness of the bank. Effective interest rate, national savings rate, and inflation rate are also the determinants of funding liquidity. Bank-specific determinants of liquidity creation include bank leverage and profitability, and macroeconomic determinants include stock market index, effective interest rate, and unemployment rate. The variation in stock liquidity of the bank is explained by profitability and price of stocks, trading volume, volatility of stock returns, and percentage change in real gross domestic product. Neither market capitalization nor stock market index is the determinant of stock liquidity of the banks.

This study uses the data from publically listed banks only.

The findings of this study may be used by the policy makers and bank managers in the emerging markets to design better policies and to strengthen the banking system to avoid financial turmoil in future.

Most of the existing studies focus on bank liquidity in developed countries and studies aiming on emerging countries are rare. The existing studies focus more on funding liquidity and liquidity creation but to the best of the authors’ knowledge, none of the studies analyze the determinants of banks’ stock liquidity. So, this study bridges the above mentioned gaps by focusing on bank liquidity in emerging markets, and exploring the determinants of the stock liquidity of the banks.

The purpose of the study is to explore the relationship between bank leverage and stock liquidity.

A simultaneous equations model and a two-stage least squares method were used to find the above-mentioned relationship, using data from all the listed banks of the BRICS countries, for the years 2007-2014.

A decrease in leverage results in lower stock liquidity of the banks. Bank leverage is a significant determinant of stock liquidity, but changes in stock liquidity do not explain the variation in bank leverage. However, in the case of small banks, an increase in stock liquidity results in lower leverage. In the case of large banks, bank leverage and stock liquidity are significant determinants of each other, and the relationship between them is positive.

An increase in high quality capital, as required by the Basel III accord, will result in lower stock liquidity of the banks in emerging markets. However, stock liquidity shocks do not affect the leverage of banks.

To the best of the authors’knowledge, this study is the first one to explore the relationship between leverage and stock liquidity of financial firms. It contributes to the existing literature on bank liquidity and capital structure and helps managers and policy makers to formulate better policies.

Robot automatic grasping has important application value in industrial applications. Recent works have explored on the performance of deep learning for robotic grasp detection. They usually use oriented anchor boxes (OABs) as detection prior and achieve better performance than previous works. However, the parameters of their loss belong to different coordinates, this may affect the regression accuracy. This paper aims to propose an oriented regression loss to solve the problem of inconsistency among the loss parameters.

In the oriented loss, the center coordinates errors between the ground truth grasp rectangle and the predicted grasp rectangle rotate to the vertical and horizontal of the OAB. And then the direction error is used as an orientation factor, combining with the errors of the rotated center coordinates, width and height of the predicted grasp rectangle.

The proposed oriented regression loss is evaluated on the YOLO-v3 framework to the grasp detection task. It yields state-of-the-art performance with an accuracy of 98.8% and a speed of 71 frames per second with GTX 1080Ti on Cornell datasets.

This paper proposes an oriented loss to improve the regression accuracy of deep learning for grasp detection. The authors apply the proposed deep grasp network to the visual servo intelligent crane. The experimental result indicates that the approach is accurate and robust enough for real-time grasping applications.

This study aims to explore the relationship between three different kinds of bank liquidity: funding liquidity; liquidity creation; and stock liquidity.

It used the data from listed banks of BRICS countries spanning the period 2007-2014. Simultaneous equations model and three-stage least square estimation were used for analysis.

First of all, increase in liquidity creation is linked to decline in funding liquidity, but variation in funding liquidity does not describe changes in liquidity creation. Second, higher stock illiquidity is associated with greater liquidity creation, but liquidity creation does not determine variation in stock liquidity. Lastly, there is no direct relationship between funding liquidity and stock liquidity; however, stock liquidity indirectly affects funding liquidity through liquidity creation.

The findings highlight the fact that capital is not the only determinant of liquidity creation, rather stock liquidity is an equally important determinant in the case of listed banks of BRICS countries. This fact has been highlighted by the recent financial crisis. Furthermore, funding liquidity depends on liquidity creation which depends on stock liquidity. However, the stock liquidity of banks neither depends on liquidity creation nor funding liquidity.

To the best of the authors’ knowledge, this study is the first one to provide the empirical evidence for the relationship between three different kinds of bank liquidity.

The purpose of this paper is to investigate the influence of the potential of hydrogen (pH) and dissolved oxygen in artificial seawater on the passivation behavior of 316L stainless steel.

The corrosion behavior was studied by using electrochemical measurements such as electrochemical impedance spectroscopy and polarization curve. The passive films were characterized with X-ray photoelectron spectroscopy.

The polarization resistance of the passive film decreases as the pH value drops ascribed to the formation of much more point defects. The donor carrier concentration (ND) in the passive film formed in the deaerated condition is lower than that in aerated conditions. Nevertheless, this phenomenon is the opposite when the pH value is 1 due to the significant decrease of Fe oxides/hydroxides coupled with the stable content of Cr oxides/hydroxides species. In addition, the compositional variation of the passive film also leads to the changes of its semiconductor properties from N-type to bipolar type.

This paper shows the variation of polarization resistance, corrosion potential, passive film composition and semiconductor properties with the pH value and dissolved oxygen. The results can serve as references to the further study on crevice corrosion of 316L in seawater.

The purpose of this paper is to explore the relationship between bank regulatory capital and liquidity creation in banks of BIRCS countries.

Data from all publicly listed banks of BRICS nations for the period 2003-2014 have been collected and analyzed. Two-stage least-squares regression has been used to control endogeneity. The econometric model includes different control variables that have been selected based on the extant literature.

Increase in bank capital negatively affects bank liquidity creation which implies that “financial fragility-crowding out” hypothesis holds for banks of BRICS countries.

This study provides the evidence of the inverse relationship between bank regulatory capital and liquidity creation from emerging economies. The findings show that there is a trade-off between curtailing bank risk taking and liquidity creation. Therefore, the regulators must formulate policies to strike a balance between the two.