Urban Security and Counterterrorism: An Approach to Proportionality

As cities and crowded areas increasingly become targets of terrorist plots and attacks, there is ample demand for risk assessment tools that consider proportional measures that reduce the threat, vulnerability, and possible impacts, whilst providing ‘security returns’ for those investments. There is a risk in this process of over- or under-fortifying places based on practitioners’ subjective biases, experiences, dead reckoning and conflicting agendas. Currently, risk assessments rely on qualitative tools that do not consider proportionality that removes these inherent biases. Critiquing well-known urban design strategies and national risk assessments, this article therefore seeks to develop a supplementary assessment tool – an equation for proportionality – that is more objective and is created to help practitioners make good choices, in particular on: (1) reducing the threat, (2) vulnerability, (3) impact, (4) accepting risk, and (5) measuring a security measure’s ability to deter, delay or stop an attack. It concludes that while no assessment is truly objective, the equation works to remove as much subjectivity as possible when assessing proportional urban security.

Financial Constraints, Stock Returns and R&D in Indian Stock Market

When the accessibility of external finance prohibits a firm from taking the optimum decision related to investment, that firm is called financially constrained. By applying the methodology of Kaplan and Zingales (1997) and Lamont et al. (2001), the current study has created a construct to gauge the level of financial constraints (FC) of the companies which emanate from quantitative information. The study explores whether FC factor is present in the Indian stock market and explores whether the security returns of those firms that are financially constrained move in tandem. The study also attempts to establish the association between security returns and R&D of financially constrained firms. On a sample of 63 R&D reporting companies of S&P BSE 500, traded over the period March 2008 to February 2019, the study used the Fama–French methodology, fixed effect model and the ordered logistic regression. The study finds that firms that are highly constrained earn more returns than low constrained firms. Second, the security returns of firms that are financially constrained move in tandem because these firms are affected by common shocks. This suggests that the FC factor exists in the Indian stock market. Finally, when R&D interacts with the level of FC, then this interaction effect has a negative effect on returns.

Tests of Alternative Asset Pricing Models Using Individual Security Returns and a New Multivariate F-Test

This paper examines relative performance of alternative asset pricing models using individual security returns. The standard multivariate test used in studies comparing the performance of asset pricing models requires the number of stocks to be less than the number of time series observations, which requires grouping stocks into portfolios. This results in a loss of disaggregate stock information. We apply a different statistical test to overcome this problem and to investigate relative performance of alternative asset pricing models using individual security returns instead of portfolio returns. Our findings suggest that a parsimonious six-factor model that includes the momentum and orthogonal value factors outperforms all other models based on a number of measures as well as the average [Formula: see text]-test. Unlike the standard multivariate test, we find that the average [Formula: see text]-test has superior power to discriminate among competing models and does not reject all tested models.

China-Pakistan Economic Corridor Agreement: Impact on Shareholders of Pakistani Firms

This paper investigates the effects on shareholders’ wealth of firms composed of the Karachi Stock Exchange 100 index, around events leading up to the signing of the China-Pakistan Economic Corridor (CPEC) agreement. We used standard event study methodology to measure the stock price reaction of KSE 100 Index (composed of all major sectors of Pakistan economy) around three key events related to CPEC agreement. Based on average security returns and cumulative average security returns, our results show significant and positive reaction of KSE 100 Index around all three key CPEC events. Our results capture market participants’ assessment of the CPEC agreement’s impact on future growth of Pakistani companies and the resultant effect of its shareholders’ wealth. These positive wealth effects are of significant predictive value as additional bilateral and multilateral agreements are contemplated in that region. Our research contributes to a research stream that sees valuable payoffs of bilateral trade agreements for developing economies and support the argument that bilateral agreements can promote and attract institutional and private foreign direct investment (FDI), which otherwise may not be forthcoming. The argument goes on to argue that these bilateral agreements also help raise the quality of institutional framework in the developing countries.

The Effect of Foreign Portfolio Equity Purchases on Security Returns in Kenya: Evidence from NSE Listed Financial Institutions

Foreign portfolio inflows increase the liquidity and the volume of finance available for financial institutions. At the same time, as foreign portfolio inflows finances in part the capital requirements of local companies, it can also increase the competitiveness of these companies. A huge surge of the inflows can be very inflationary because this forces the Central Bank of Kenya to expand the country’s monetary base by releasing counterpart domestic currency which eventually feeds into the inflationary process. The main aim of this study was to find out the effect of international portfolio equity purchases on security returns of listed financial institutions in Kenya. The study population was 21 financial institutions listed on the Nairobi Securities Exchange. Using purposive sampling technique the study concentrated on 14 financial institutions. The research design of the study was causal as it is concerned more with understanding the connection between cause and effect relationships. The study adopted panel data regression using the Ordinary Least Squares (OLS) method where the data included time series and cross-sectional. A unit root test was carried in this study to examine stationarity of variables because it used panel data which combined both cross-sectional and time series information. Panel estimation results indicated that international portfolio equity purchases have no effect on stock returns of listed financial institutions in Kenya. The study recommended implementation of regulations and policies that would attract foreign portfolio equity inflows in financial institutions.