The immediate price impact of trades on the Australian Stock Exchange

We study the immediate price impact of a single trade executed in the Australian Stock Exchange (ASX). By ordering the top 300 stocks on the ASX in order of their free float market capitalization, a clear pattern emerges, with higher cap stocks experiencing lower price impact than lower cap stocks for the same traded volume. We investigate this relationship in detail, and show that the price impact and liquidity scale as a power of the market capitalization. This relationship is used to obtain a single market impact curve which shows average price shift as a function of volume traded. We obtain similar results for every year from 2001 to 2004.     

The impact of share price on seasonality and size anomalies in Australian equity returns

Given the high correlation between a firm's stock price and market capitalisation, it is possible that the well-documented size anomaly is masking a share-price effect. Using a seemingly unrelated regression model to accommodate contemporaneous correlation between portfolios, we estimate the separate effects of firm size and share price on returns to Australian equity portfolios. The analysis is also extended to estimate seasonal components of size and price effects. Our major findings are: (i) firm size and share price have significant and independent effects on portfolio returns averaged over all months, (ii) the familiar negative relation between size and returns is confirmed across all months, and (iii) the relation between share price and returns is negative in July and positive in all other months (with the exception of January where no price effect occurs). These findings, which are consistent across sub-periods and robust to method variations, highlight the need for future research to provide an economic foundation for the relation between average returns, size and price.     

Gold loans in the Australian gold mining industry: Do gold loans allow gold producers to increase leverage?

This paper tests the hypothesis that gold producers exhibit greater leverage where gold loans are used. As the choice of gold producers and the study period essentially avoids debt tax shield effects, the paper focuses on information asymmetry and agency costs explanations for leverage. Theory suggests hedging can reduce the cost of debt but it has little impact if management is not committed to adopting the promised hedging policy. The implicit hedge in gold loans commits management to hedging and so greater leverage is expected for producers adopting gold loans. Results from the analysis are consistent with this hypothesis.     

The intrinsic value of gold: An exchange rate-free price index

In this paper, we propose a gold price index that enables market participants to separate the change in the ‘intrinsic’ value of gold from changes in global exchange rates. The index is a geometrically weighted average of the price of gold denominated in different currencies, with weights that are proportional to the market power of each country in the global gold market. Market power is defined as the impact that a change in a country’s exchange rate has on the price of gold expressed in other currencies. We use principal components analysis to reduce the set of global exchange rates to four currency ‘blocs’ representing the U.S. dollar, the euro, the commodity currencies and the Asian currencies, respectively. We estimate the weight of each currency bloc in the index in an error correction framework using a broad set of variables to control for the unobserved intrinsic value. We show that the resulting index is less volatile than the USD price of gold and, in contrast with the USD price of gold, has a strong negative relationship with global equities and a strong positive relationship with the VIX index, both of which underline the role of gold as a safe haven asset.     

The sensitivity of bank stock returns to real estate

According to the Federal Reserve Board, banking firms have recently been shifting significantly larger portions of their loan portfolios into real estate. This increase in real estate lending has caused concern about the continuing economic health of banks on the part of state and federal regulators, since changes in real estate returns, evidenced by changes in property value, can potentially have a significant impact on bank default risk and profit-ability. However, concerned parties do not seem to have explicitly considered the relationship between mortgage default risk and the specific characteristics of real estate investments.This study examines the sensitivities of stock returns for different bank groups, based on the percentage of total loans in real estate and the percentage of loans in five different mortgage categories (construction and development loans, farmland loans, one- to four-family residential loans, multifamily residential loans, and nonresidential and nonfarm loans), to changes in real estate market returns. This is done by developing and using a three-index model.The results of this study indicate that bank stocks, overall, are very sensitive to changes in real estae returns. Banks, with a larger portion of their total loans invested in all types of real estate loans, except farmland loans, are most sensitive to changes in real estate returns.     

The role of Chinese economic variables on Australian and New Zealand equity returns

This study investigates the explanatory power of Chinese economic variables on Australian and New Zealand equity returns. Results suggest that Chinese economic variables have significant explanatory power for both market‐level and industry‐level portfolio returns. Our results are robust when using the principal component analysis (PCA) approach. We also find the predictive power is stronger for the post‐FTA period. In addition, the out‐of‐sample analysis confirms our previous results, suggesting that Chinese economic variables contain incremental information when estimating Australian and New Zealand equity market returns. We believe our findings have important implications for investors and policymakers in both countries.     

The market premium for the option to close: evidence from Australian gold mining firms

This study shows the market value of gold mining firms contains a premium for the option to close. The sample uses 41 gold mining producers listed on the Australian Stock Exchange from 1987 to 2013. The premium of the market price over the present value of cash flows is isolated and a pooled cross‐sectional regression tests the degree of association between that premium and theoretical option premiums. The results show market prices incorporate a premium reflecting the option to temporarily close operations. The magnitude of the option premium to close depends on whether firms are out or in the money options.     

The role of gold futures in mitigating the impact of economic uncertainty on spot prices: Evidence from China

This paper studies the co-integration relationship and volatility spillover effect between China's gold futures and spot prices through the VECM-BEKK-GARCH model. Then, MSGARCH and DCCE-GARCH are applied to study the relationship among China's gold futures market, spot market price volatility and the stabilization effect in uncertain economic environments. This paper enriches the current research, providing gold market participants with hints to address economic uncertainty. The empirical results show that China's gold futures market has a weak stabilization effect on spot price volatility. In scenarios with uncertain economic information and uncertain macroeconomic changes, the correlation between gold futures and spot price volatility is reduced in China, and the role of gold futures in stabilizing the spot price weakens. Furthermore, with economic uncertainty, the fluctuation range of the gold futures price is greater than that of the spot price, with a tendency of more frequent fluctuations. This also means that the effectiveness of the futures market in regulating the spot price will be reduced, and gold market regulators need to stabilize the market through alternative methods to futures.     

Semiparametric estimation of a characteristic-based factor model of common stock returns

We introduce an alternative version of the Fama–French three-factor model of stock returns together with a new estimation methodology. We assume that the factor betas in the model are smooth nonlinear functions of observed security characteristics. We develop an estimation procedure that combines nonparametric kernel methods for constructing mimicking portfolios with parametric nonlinear regression to estimate factor returns and factor betas simultaneously. The methodology is applied to US common stocks and the empirical findings compared to those of Fama and French.     

The commodity super price cycle and real options: Implications for the Greeks of mining firms

The Real Options Approach (ROA) to the management and valuation of mining firms should impart a distinctive pattern to the time path of the Greeks displayed by such firms during the recent price super cycle. This paper simulates the delta, gamma, vega and rho of a gold mining firm holding a portfolio of heterogeneous mines over the recent gold price cycle, to find out the telltale signs that the ROA should leave on the trajectories exhibited by such variables during that period. We show that the ROA and the standard NPV approach to mine management and valuation predict markedly different trajectories for the Greeks.     

The decomposition of US and Euro area stock and bond returns and their sensitivity to economic state variables

This paper decomposes US and Euro area excess stock and bond return innovations into news factors using the Campbell–Schiller methodology. The results indicate that stock return volatility is mostly due to volatility of future excess return news. Inflation news plays a minor role although it is significantly correlated with excess return innovations. For the bond market too, it is future return news—not inflation news—that moves bond returns most. For finite investment horizons, however, asset market movements give a differential importance to the various news components. Results are comparable for the US and the Euro area, but differ in terms of magnitudes. In addition, sensitivities (‘betas’) to a set of state variables are estimated, yielding high interest rate betas and low money growth betas. Generally, inflation, unemployment and leading indicator betas are significant. Asset market exposures to oil and exchange rate changes are more significant for the Euro area than in the US.     

The effects of oil price shocks on U.S. stock order flow imbalances and stock returns

This paper investigates for the first time the effects of oil demand shocks and oil supply shocks on stock order flow imbalances leading to changes in stock returns. Through the estimation of a structural VAR model, positive oil demand shocks are able to explain almost 36% of the observed variation in the daily average stock order flow imbalances measured by the buy/sell trades ratio; which consequently lead to a negative rather than positive stock returns reaction. In contrast, oil supply shocks exhibit a negative and marginally significant effect on stock order flow imbalances. Our aggregate analysis suggests that positive shocks on stock order flow imbalances are negatively related to stock returns. These effects are stronger for oil-related sectors when compared with the rest of the equities sectors.     

The impact of company responses to exchange queries on the Australian equity market

This study examines the impact of company responses to trading‐induced queries made by the Australian Securities Exchange over the period January 2007–December 2008, inclusive. We utilise event study methodology and a matched sample approach to assess the impact of trading query announcements. We use multivariate analysis to investigate any cross‐sectional determinants affecting abnormal returns and volume, and find significant positive shareholder wealth and volume effects associated with query announcements. Further, the unexplained abnormal returns observed prior to the announcement of the trading query persist post‐announcement. Subsequent analysis reveals the industry effect reported in the literature loses significance after accounting for sample selection bias.     

The impact of multilateral trading facilities on price discovery: Further evidence from the European markets

This study examines relative price discovery for three major European indices, FTSE, CAC, and DAX, their futures and exchange traded funds (ETFs) using the data on 5‐minute intraday transaction prices over a four‐year period. We computed both Hasbrouck (1995) information share with error bounds and Gonzalo and Granger's (1995) common factor weights approach. Gonzalo and Granger's (1995) common factor weights suggest the index futures contracts play a dominant role in price discovery in the CAC market: the CAC 40 index futures lead the price discovery and Lyxor CAC 40 ETFs serving the second resort for information transmission. This could be due to the less frequent trading of ETFs. More importantly, CAC40 under the Gonzalo & Granger (1995) test shows upper and lower error bounds in good range may be the main reason to drive for the meaningful results. In contrast, the upper and lower bounds estimated from the Hasbrouck (1995) are far distant for most cases. Finally, FTSE and DAX markets offer compelling evidence to show that ETFs lead price discovery and spots and futures follows.     

The effect of self-selection bias on the testing of a stock price reaction to management's earnings forecasts

This study examines the inferential bias due to the failure to control for self-selection when studying the market's reaction to management earnings forecasts. The analysis is conducted by controlling for self-selection and comparing the results to those obtained when self-selection is not controlled. This comparison suggests that the overall inference of a market reaction to the management forecast issuance does not change. However, the statistical significance declines when self-selection is considered. Since the issuance of a management forecast is an obvious self-selection, the results of this study suggest that self-selection should be considered and evaluated in quasi-experimental studies in accounting and finance.     

The industry effect and the decision to integrate vertically in a crisis context

ABSTRACT

The objective of this work is twofold: firstly, to study if the characteristics of the industry affect certain financial and strategic decisions of manufacturing firms and, secondly, to determine if the strategy of diversifying the activity through vertical integration generates good financial results in times of crisis, depending on the industry. To this end, an analysis is carried out with panel data from 9,523 firms in the period between 2008 and 2013. The results show that there are different strategies that firms must follow, depending on the industry to which they belong. In sectors with lower operational risk, those firms characterized by greater specificity and better product quality obtained higher profitability. However, in riskier sectors, firms with more specific assets assumed too many risks and in times of crisis have seen their profitability fall. Likewise, it is observed that the decision to integrate vertically has mitigated the weak points of each sector, allowing firms to better weather the economic–financial crisis in which this research is framed.     

Forecasting stock-market tail risk and connectedness in advanced economies over a century: The role of gold-to-silver and gold-to-platinum price ratios

We examine the predictive value of risk perceptions as measured in terms of the gold-to-silver and gold-to-platinum price ratios for stock-market tail risks and their connectedness in eight major industrialized economies using monthly data for the period 1916:02–2020:10 and 1968:01–2020:10, where we use four variants of the popular Conditional Autoregressive Value at Risk (CAViaR) framework to estimate the tail risks for both 1% and 5% VaRs. Our findings for the short sample period show that the gold-to-silver price ratio resembles the gold-to-platinum price ratios in that it is a useful proxy for global risk. Our findings for the long sample period show, despite some heterogeneity across economies, that the gold-to-silver price ratio often helps to out-of-sample forecast for both 1% and 5% stock market tail risks, particularly when a forecaster suffers a higher loss from underestimation of tail risks than from a corresponding overestimation of the same absolute size. We also find that using the gold-to-silver price ratio for forecasting the total connectedness of stock markets is beneficial for an investor who suffers a higher loss from an underestimation of total connectedness (i.e., an investor who otherwise would overestimate the benefits from portfolio diversification) than from a comparable overestimation.     

The European pulp and paper industry in transition to a bio-economy: A Delphi study

The current challenge facing the European pulp and paper industry is how to materialize the transformation to a bio-economy, as well as to realize the necessary new green innovations. The risks, costs and constraints of doing business will increase, thereby further intensifying competition, but at the same time new business opportunities will open up. This study adopts a three-round dissensus-based Delphi approach in order to explore our key research question of how the pulp and paper industry may change strategically, and what is the potential for value creation in the year 2030. According to our expert panel, the main drivers of competitiveness in 2030 will include energy and material efficiency, sustainability, as well as new innovations in products to serve customer needs better. According to the projected 2030 scenario, the pulp and paper industry will produce more diversified products, focus on higher value-added, and aim at consumer segments with higher environmental awareness. On average, 40 percent of the turnover will according to the panel come from genuinely new products. Strategic cross-sectorial partnerships will have a key role in making this big leap, while simultaneously acknowledging the changing needs of sustainability-conscious customers and other stakeholders.     

The Time-Varying Response of Hours Worked to a Productivity Shock

This paper revisits the dynamic response of hours worked to a total factor productivity (TFP) shock. I estimate a structural vector autoregression that includes time-varying parameters and stochastic volatility. The estimation produces structural parameters that are consistent with the long-run identification. The impulse response functions of hours worked to a TFP shock are negative on impact and at the business cycle horizons. This is evidence that Galí (1999) would interpret as supporting new Keynesian theory. My results also show that TFP shocks are the dominant source of variation in average labor productivity. Structural changes in the U.S. economy play an important role in the TFP–hours worked relationship.     

The Output Effect of a Transition to Price Stability When Velocity Is Time Varying

This paper explores the effect of time‐varying velocity on output responses to policies for reducing/stopping inflation. We study a dynamic general equilibrium model with sticky prices in which we introduce time‐varying velocity. Specifically, we endogenize time‐varying velocity into the model developed by Ireland (1997) for analyzing optimal disinflation. The nonlinear solution method reveals that, depending on velocity, the “disinflationary boom” found by Ball (1994) may disappear even under perfect credibility and that early output losses may be much larger than previously thought. Indeed, we find that a gradual disinflation from a low inflation may even be undesirable.