This paper examines the effect of the mandatory adoption of the International Financial Reporting Standards (IFRS) on transparency for investors by measuring the increase in earnings management during the post-adoption period of IFRS. One sign of earnings management is current year earnings being only slightly higher than the previous year’s earnings. An increase in earnings management means a decrease in accounting quality and a decrease of transparency for investors. By comparing firms that mandatorily adopted IFRS to similar benchmark firms in terms of strength of legal enforcement, book-to-market ratios, market values and net incomes, I am able to run empirical regressions examining variables of growth, equity issuance, leverage, debt issuance, turnover, size, cash flow, and time period in order to determine the effect of the adoption on IFRS on earnings growth. After looking at 516 firms from 20 countries for the years of 2002-2007, I conclude that IFRS is decreasing financial reporting quality and decreasing transparency for the investing public, and therefore is not accomplishing its goal of bringing efficiency, accountability, and transparency to global financial markets.

This paper explores private investments in public equity (PIPE) deals as a means of alternative firm financing. Poorly performing companies often look towards PIPEs to quickly raise capital when traditional means of financing are limited. This study provides an analysis on both the discount and premia that PIPEs are issued at, as well as the performance of firms after the deal announcement. Overall, this study finds that successful PIPEs from the investor’s perspective are issued at a discount of close to 17%, and unsuccessful PIPEs are issued at an average of a 15% premium. I find substantial cumulative abnormal returns of 9% over a three-day period due to positive information shocks. Overall, this thesis corroborates past research in the field.

This paper investigates a potential cause of the observed growth in the magnitude of earnings response coefficients over time since 2001. I hypothesize that the growth is explained by increasing investor reliance on Wall Street analyst earnings per share (“EPS”) estimates to form their next-period EPS expectations. To test my hypothesis, I regress 3-day cumulative abnormal market returns following earnings announcements on an interaction term between the earnings surprise and the number of analyst EPS estimates along with several control variables. I ultimately find no evidence of increasing investor reliance on Wall Street analyst estimates. Furthermore, I fail to replicate the results of prior literature that found an upward trend in earnings response coefficients over time from 2001 to 2011. These contradictory results merit further investigation in future research.

The goal of this master thesis is to design and implement an analytical application for Security Information Service by providing a software prototype. The solution proposes an enhancement of existing graph that allows security analytics to analyse, edit and visualize objects and relations that are saved into a relational database. In the thesis, we walk through the process of development step by step. First, we investigate the current version software and the requirements of the customer. Afterwards, we design the architecture to be easily extendable with new modules and reliable libraries. In the next step, we implement the application, present our solution to the customer and conduct excessive testing. The final step is evaluating our solution by comparing it to the current software solution in use.

This study investigates the settlement period, including payment delays and failed deliveries that occur during the processing of U.S. equity transactions, and its effects on observed stock prices. Payment and delivery occur three to six calendar days after the trade date in the standard three business day settlement cycle, referred to as T+3. First, the buyer benefits from a payment delay, during which time he can earn interest on the cash needed to settle the trade. Since the seller has no analogous opportunity, I anticipated that the cost of the payment delay would be reflected in equity prices at a rate equivalent to the risk-free rate over the settlement period in ordinary circumstances and at a higher rate during financial market crises if sellers believe they may not be paid on time. Using CRSP daily market index returns from 1995 through 2009, I measured the cost of this delay to be approximately three to five times the risk-free rate, proxied by the effective Fed funds rate. These results suggest that buyers are forced to compensate sellers at rates greater than I expected during normal conditions. Second, the risk of failed delivery may also affect security prices if market participants expect that sellers will not deliver securities on time. A failed delivery effectively becomes a forward transaction. I predicted that buyers compensate sellers at the risk-free rate over the extended settlement period. This compensation would be in addition to the normal payment delay and directly related to the probability of failed delivery; thus, I added SEC Regulation SHO daily failed deliveries data, available from 2004 through 2009, to the model with payment delays. By constructing a proxy for the change in probability of failure from aggregated fails and market volume, I found that buyers compensate sellers over the lengthened settlement period due to failed deliveries at a rate of approximately 11 basis points daily for an increase in the likelihood of failure of one percentage point.

This study reviews ship security assessment. The objectives are to explore the possibilities for quantifying and performing a more thorough ship security risk analysis than that described in the International Ship and Port Facility Security code and to evaluate to what extent this more detailed analysis increases ship security and facilitate the effective selection of risk control options. The study focuses on Somali-based maritime piracy, using piracy on the Indian Ocean as a case study. Data are collected using questionnaires and interviews with civilian and military security experts who possess firsthand experience of piracy off the coast of Somalia. The data are collected specifically for this study and describe and quantify the threat’s capability, intent and likelihood of exploiting a ship’s vulnerability. Based on the collected description of the threat, the study analyzes and describes: probability of detection by pirates, probability of successful approach, and probability of successful boarding. The performed work shows good agreement between calculated probabilities and frequencies in the cited incident reports. Also, the developed scenarios describe the most important influences on the analyzed areas. The research therefore shows that the proposed risk-based approach, which uses structurally collected and documented information on the threat, can increase ship security by assisting in selecting risk control options. The approach also allows for a better understanding of the causal relationship between threat and risk than that provided in today’s security analysis by ship owners, for example. This understanding is crucial to choosing effective and robust risk control options.

Non-arbitrage asset pricing has been an avenue of unending interest to financial academics and practitioners alike. With increased capital outflow being permitted by developing economies, investors now have easy access to securities issued by foreign firms. The issue investigated in this research is concerned with the persistent presence of arbitrage opportunities between depository receipts and domestic stocks of Indian firms during the recent financial crisis. Instead of being priced in parity with one another during the crisis, ADRs of Indian firms were overpriced by as much as 70% for months on end. This thesis investigates the reasons giving rise to this premium by analyzing causes like benefits from diversification and liquidity.

Wireless sensor networks (WSNs) have been widely used in many areas, such as early earthquake monitoring, building structure monitoring, and military surveillance. In this thesis, we focus on the wireless sensor network deployed in the battlefield, using random key predistribution scheme. Firstly we presented an analysis of the security impacts by node capture attack. Also, based on the node cloning attack, we proposed a new attack scheme, called compromised key redistribution attack, and discussed related attack scenarios. Besides, we have found out and conjectured that, when the overlapping factor of compromised key set is larger than 0.05, it is very possible (almost 90%) that the number of distinct compromised keys is 10.5% of the original key pool. This conjecture helps the adversary estimate the approximated size of original key pool by calculating the overlapping factor, thus calculate the probability that malicious nodes successfully establish connections with legitimate nodes.

Bitcoins have the potential to fundamentally change the way value is transferred globally. Their rapid adoption over the past four years has led many to consider the possible results of such a technology. To be a viable currency, however, it is imperative that the market for trading Bitcoins is efficient. By examining the changes in availability of predictable outsized returns and market liquidity over time, this paper examines historical Bitcoin market efficiency and establishes correlations between market liquidity, price predictability, and return data. The results provide insight into the turbulent nature of Bitcoin market efficiency over the past years, but cannot definitively measure the magnitude of the change due to the limitations in efficiency analysis. The most meaningful result of this study, however, is the statistically significant short-horizon price predictability that existed over the duration of the study, which has implications for Bitcoin market efficiency as well as for continued research in short-horizon Bitcoin price forecasting models.

This paper empirically explores how the introduction of Credit Default Swap (CDS) trading affects firm systematic risk. By treating the introduction as an event study and imploring propensity score matching and difference-in-differences analysis, this research finds that firm exposure to market risk increases after the introduction of CDS instruments, controlling for higher debt levels. These findings change, however, in times of financial crisis when the impact of CDS trading actually reduces systematic risk. These results show that CDS introduction enables a firm to more dramatically change its exposure to systematic risk in comparison to its counterpart to reflect market conditions.