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The purpose of this study is to investigate if non-US/non-Canada (international) equity listings in the Canadian stock exchanges increased with the adoption of International Financial Reporting Standards (IFRS) in Canada. A question of interest is whether the adoption of common global accounting standards (IFRS) was beneficial in attracting international firms to the Canadian exchanges.

The authors use difference-in-difference ordinary least square methodology to conduct inter-country (between Canada and the USA) and intra-country (between the Toronto Stock Exchange [TSX] and the TSX Venture Exchange [TSXV]) tests to investigate whether there is increased listings of international firms on Canada’s exchanges associated with mandatory adoption of IFRS in Canada compared to such listings in the American exchanges.

The authors did not find evidence of a relative increase in listings by international firms on the TSX and the TSXV after Canadian adoption of IFRS, but they did find that listings by international firms on the TSX, Canada’s primary exchange, increased when the authors include the year before mandatory Canadian adoption as part of the IFRS adoption period. The authors also find that international listings from outside the North American, European and Australasian regions increased on the TSXV, consistent with IFRS adoption making the smaller Canadian exchange more attractive to listers from these regions.

With the increasing use of IFRS throughout the world, US regulators, the US Congress and other capital market participants seek to understand the costs and benefits of potential IFRS adoption in the USA. The authors contribute to this debate by examining the effect of Canada’s adoption of IFRS on growth in international stock listings in the Canadian stock exchanges.

This study aims to analyze the impact of the crude oil market on the Toronto Stock Exchange Index (TSX).

The focus is on detecting nonlinear relationship based on monthly data from 1970 to 2021 using Markov-switching vector auto regression (VAR) model.

The results indicate that TSX return contains two regimes: positive return (Regime 1), when growth rate of stock index is positive; and negative return (Regime 2), when growth rate of stock index is negative. Moreover, Regime 1 is more volatile than Regime 2. The findings also show the crude oil market has a negative effect on the stock market in Regime 1, while it has a positive effect on the stock market in Regime 2. In addition, the authors can see this effect in Regime 1 more significantly in comparison to Regime 2. Furthermore, two-period lag of oil price decreases stock return in Regime 1, while it increases stock return in Regime 2.

This study aims to address the effect of oil market fluctuation on TSX index using Markov-switching approach and capture the nonlinearities between them. To the best of the author’s knowledge, this is the first study to assess the effect of the oil market on TSX in different regimes using Markov-switching VAR model. Because Canada is the sixth-largest producer and exporter of oil in the world as well as the TSX as the Canada’s main stock exchange is the tenth-largest stock exchange in the world by market capitalization, this paper’s framework to analyze a nonlinear relationship between oil market and the stock market of Canada helps stock market players like policymakers, institutional investors and private investors to get a better understanding of the real world.

The purpose of this research is to analyze survey results on the perception of dividends by managers of dividend‐paying firms listed on the Toronto Stock Exchange (TSX).

Managers from a sample of 291 dividend‐paying TSX‐listed Canadian firms were surveyed about their views on dividends.

The most important factors influencing dividend policy are the level of current and expected future earnings, the stability of earnings, and the pattern of past dividends. Despite dramatic differences in the level of ownership concentration between Canadian and US firms, their corresponding managers' views on the determinants of dividends are similar. Canadian managers believe that dividend policy affects firm value but express little agreement with the theory of a residual dividend policy. They express strong support for the signaling and lifecycle explanations for paying dividends, but not for the bird‐in‐the‐hand, tax‐preference and dividend clientele, agency cost, or catering explanations. Compared with non‐dividend payers, Canadian dividend‐paying firms are significantly larger and more profitable, have greater cash reserves and ownership concentration, and have fewer growth opportunities.

This study updates and expands previous survey‐based research on dividends and provides new evidence from managers of Canadian firms.

This chapter analyzes the market response to ticker symbol change of stocks with non-conventional voting structures (or multiple class shares, MCS). I find a significant drop (increase) in prices and liquidity (short-sale activity) of MCS stocks, with the most severe decrease being reported for the lower-voting class. This evidence suggests that investors revised downward the assessment of MCS stocks. Regression analysis shows that a significant part of the cross-sectional variation of the event-results is explained by firm's agency costs. Overall, the chapter stresses the importance of enhanced market transparency in curbing private benefits.

The purpose of this paper is to review the evolution of the Canadian financial environment since the stock market “crash” of 1987.

The paper provides a chronological account of significant events in the Canadian economic environment and capital markets, and how they have transformed the financial climate.

The late 1980s was a turbulent period with many changes in government and economic policies which were initiated at a time when governments were wracked with fiscal deficits, and just as the central bank appointed a dedicated inflation fighter. These changes worked their way through the system to contribute to one of the worst recessions in Canadian history. One of the symbols of disparity during this era was the Stock Market “Crash” of 1987, which was felt in Canada, as well as around the globe. However, for the last decade, the federal government has reported a surplus every year, and Canadians have benefitted from falling tax rates, declining interest rates, a strong stock market, and a rising currency. In fact, until September of 2008, all of these developments had contributed to unprecedented profitability in the financial services industry, until the recent widespread economic crisis in the US spread to Canadian and global economies. However, the Canadian economy seems much better poised to deal with such adversity than it was in October 1987. If the fall of 2008 is any indication, we will find out soon enough.

The paper demonstrates how fallout from the crash of 1987, as well as other subsequent developments, has contributed to significant changes in the financial environment.

The authors evaluate the Sell in May effect in the Canadian context to comprehensively explore the Sell in May effect as well as its interactions with the size effect and risk and with multiple indices.

The authors use ordinary least squares (OLS) regressions to examine the Sell in May effect and Huber M-estimation to handle potential outliers. They also use the generalized autoregressive conditional heteroskedasticity (GARCH) models to explore the role of risk in the Sell in May effect.

The results demonstrate that the Sell in May effect is present in all three main Canadian stock market indices. More telling, the anomaly is strongest in small cap indices and in indices that give equal weighting to small and large cap stocks. They do not find that the effect is driven by risk.

While several papers have explored the Sell in May phenomenon in several countries, little scholarly attention has been paid to this effect in Canada and to its interaction with the size effect. The authors contribute to the literature by examining of the interactions between Sell in May and the size effect in Canada. They examine the Sell in May effect using CFMRC value-weighted and equally weighted indices of all Canadian companies. They also incorporate in their analysis the role of risk.

This study aims to explore the impact of cryptocurrencies (Bitcoin, Ethereum, Monero and Ripple) on the gold, WTI, VIX index, G7 and the BRICS index before and during COVID-19.

This research analyzes the impact of cryptocurrencies (Bitcoin, Ethereum, Monero and Ripple) on the gold, WTI, VIX index, G7 and the BRICS index before and during COVID-19, using the quantile regression approach for the 2016–2020 period. In addition, to catch long- and short-run asymmetries of cryptocurrencies on aforementioned dependent variables, an asymmetric nonlinear co-integration (nonlinear autoregressive distributed lag [NARDL]) approach is applied.

The result of the quantile regression shows that in a high market, which corresponds to the 90th quantile, the FTSE MIB, CAC40, SSE, BSE 30, and BVSP stock market showed a statistically insignificant negative coefficient, on the Bitcoin price. In a middle and low markets, which correspond to the 0.2, 0.3 and 0.5th quantiles, the BVSP, FTSE MIB, S&P/TSX, SSE and Nikkei stock markets show statistically significant and positive on Bitcoin. Evidence from the NARDL shows a statistically significant positive impact of cryptocurrencies on the gold, WTI, VIX index, G7 and BRICS indices before and during COVID-19 pandemic.

These results can provide investors with valuable analysis and information and help them make the best decisions and adopt the best strategies. Therefore, future investigations may concentrate and examine the monetary and governmental policies to be adapted to face the COVID-19 pandemic’s dangerous effects on both the society and the economy. For this reason, investors should take this into account when making their asset allocation decisions. Moreover, the portfolio managers, such as index funds, may consider few eligible cryptocurrencies for their inclusion into the portfolio. However, the speculators present in both stock and crypto markets may opt for a spread strategy to improve their portfolio returns.

This paper compares the performance and volatility of the Toronto Stock Exchange in Canada and the Karachi Stock Exchange in Pakistan, as well as the sensitivities of the two stock exchanges to major global events. The purpose of this paper is to assist the Pakistani immigrants in Canada in their investment decisions.

This paper uses the generalized autoregressive conditional heteroskedasticity model to estimate volatility of the two stock exchanges. Moreover, the mean adjusted returns approach associated with the event study methodology is used to find out the impact of major global events on these stock exchanges.

The study finds that the Toronto Stock Exchange outperforms the Karachi Stock Exchange in the pre-September 11 attack period, while the latter outperforms the former in the post-September 11 attack period. The study also shows that there has been a significant improvement in the risk-adjusted return of the Karachi Stock Exchange in the post-September 11 attack period. Moreover, this paper finds that the impact of major global events is more significant on the Toronto Stock Exchange relative to the Karachi Stock Exchange on the event date.

This paper is one of the very few to analyze and compare stock performances from the perspective of immigrant communities. The paper is valuable for Pakistani immigrants living in Canada or any investors interested in Karachi Stock Exchange and its comparison with Toronto Stock Exchange. Moreover, the paper can be of value to the Pakistani Government in terms of their promotional activities.

The purpose of this study is to examine the effects of adopting International Financial Reporting Standards (IFRS) on financial statements of the largest Canadian firms (S&P/TSX 60) listed on the Toronto Stock Exchange (TSX).

This study investigates the financial statement effects of 46 companies from the S&P/TSX 60 index which report under IFRS in 2011 and switched to IFRS from CGAAP. This study used panel data analysis, which can be considered as more powerful when conducting cross-sectional and in time analysis among companies. Because of weakness of Cramer statistic on R-square, the authors used interaction terms as suggested by Hope (2007).

Consistent with the authors’ perceptions, this study finds that significant effects of adopting IFRS are associated with industry practices. The empirical results show that the adoption of IFRS in Canada created more relevant financial reporting for book value of equity and net income in the post-adoption periods.

This study should be of interest to the US regulators considering IFRS adoption by US publicly traded companies as well as to regulators, standard setters and listed companies in all countries worldwide that are in transition to IFRS.

Many papers have argued that there are long‐run downward‐sloping demand curves (LRDDC) for stocks. The purpose of this paper is to analyze this hypothesis using a new, unique, and ostensibly information‐free event: the re‐weighting of the Standard & Poor (S&P) 500 index from market based to free‐float based, which involves a significant shift in supply that, under the LRDDC, should result in significant and permanent price movements.

Event study methodology is used to examine abnormal returns and trading activity around the free‐float weight implementation dates for S&P 500 firms with various investable weight factors.

As a result of S&P 500 index re‐weighting, affected stocks experience statistically significant excess returns of −1.54 percent during the event week. This return is reversed during the following 30 days as trading volume returns to normal levels. These results are contrary to previous studies that analyze ostensibly informational events and/or different exchanges.

Results of this study indicate that arbitrage appears to be effective in eliminating a long‐term mispricing, which challenges the validity of the LRDDC hypothesis.

This study contributes to the body of literature on the S&P 500 index firms by providing supporting evidence for the price‐pressure hypothesis.