Pension Contributions and Firm Performance: Evidence from Frozen Defined Benefit Plans

We study the impact of freezing defined benefit (DB) pension plans and replacing them with defined contribution (DC) plans on liquidity, financial leverage, investment, and market value of a sample of firms over 2001‐2008. We find evidence that the pension freeze tends to attenuate the drain on corporate liquidity and relieve the pressure to borrow to pay for mandatory contributions (MCs) associated with underfunded DB plans. Although investors seem to favor the pension freeze as evidenced by positive announcement abnormal stock returns, there is little reliable evidence that the freeze increases investment efficiency and long‐term stock performance.     

On the Economic Link Between Asset Prices and Real Activity

Abstract:  This paper presents a model linking two financial markets (stocks and bonds) with real business cycle, in the framework of the Consumption Capital Asset Pricing Model with Generalized Isoelastic Preferences. Besides interest rate term spread, the model includes a new variable to forecast economic activity: stock market term spread. This is the slope of expected stock market returns. The empirical evidence documented in this paper suggests systematic relationships between business cycle's state and the shapes of two yield curves (interest rates and expected stock returns). Results are robust to changes in measures of economic growth, stock prices, interest rates and expectations generating mechanisms.     

Institutional investors and stock returns volatility: Empirical evidence from a natural experiment

In this paper, we provide empirical evidence on the impact of institutional investors on stock market returns dynamics. The Polish pension system reform in 1999 and the associated increase in institutional ownership due to the investment activities of pension funds are used as a unique institutional characteristic. Performing a Markov-switching-GARCH analysis we find empirical evidence that the increase of institutional ownership has temporarily changed the volatility structure of aggregate stock returns. The results are interpretable in favor of a stabilizing effect on index stock returns induced by institutional investors.     

Do institutional investors destabilize stock prices? evidence from an emerging market

In this paper, we provide empirical evidence on the impact of institutional investors on stock market returns dynamics in Poland. The Polish pension system reform in 1999 and the associated increase in institutional ownership due to the investment activities of pension funds are used as a unique institutional characteristic. We find robust empirical evidence that the increase of institutional ownership has changed the autocorrelation and volatility structure of aggregate stock returns. However, the findings do not support the hypothesis that institutional investors have destabilized stock prices. The results are interpretable in favor of a stabilizing effect on index stock returns induced by institutional trading.     

“De‐risking” Corporate Pension Plans: Options for CFOs

Until the stock market bubble burst in 2000–2002, most CFOs viewed their defined benefit pension plans as profit centers and relatively risk‐free sources of income. Since neither pension assets nor liabilities were reported on corporate balance sheets, and expected returns on pension stocks could be substituted for actual returns when reporting net income, the risks associated with DB plans were masked by GAAP accounting and thus assumed to have no bearing on corporate capital structure. But when stock prices and corporate profits fell together, the risks associated with conventional stock‐heavy pension plans showed up first in reduced pension surpluses (or, in many cases, deficits) and then later in higher required cash contributions and lower reported earnings. As a consequence, today's investors (and rating agencies) are viewing pension and other legacy liabilities as corporate debt, and demands for transparency and increased funding have triggered accounting changes and proposed legislative reforms that will further unmask the economics. This article aims to provide both private‐sector and public‐sector CFOs with suggestions for reducing and controlling the cost of providing for the retirement of their employees. Profitable, tax‐paying companies with DB plans should consider (1) funding any unfunded liabilities (if necessary, by issuing debt) and (2) reducing pension equity and interest rate exposures by shifting some (if not all) pension assets into bonds and defeasing the pension liability (achieving a tax arbitrage in the process). And in cases where the expected costs of maintaining DB plans outweigh the benefits, companies should consider freezing or terminating their plans and switching to a defined contribution (DC) or some form of hybrid plan. The authors also propose similar changes for public pension plans, where underfunding and mismatch problems are greater, less transparent, and in some ways less tractable than those of corporate DB plans.     

The Information Content of Corporate Pension Funding Status in Japan

This paper tests if a firm's pension funding ratio (pension assets/PBO) reveals the management's private information about the firm's operation when the firm can exercise discretion in pension funding. The lax enforcement of pension funding rules and the prevalence of management forecasts make Japanese firms an ideal testing ground. We show that, among firms with large business uncertainty, large accruals, or high effective tax rates, the pension funding ratio predicts the firm's management forecast errors significantly beyond conventional control variable and the effects of pension accounting management. However, the stock market does not appear to incorporate this information immediately.     

Financial crisis,Value-at-Risk forecasts and the puzzle of dependency modeling

Forecasting Value-at-Risk (VaR) for financial portfolios is a crucial task in applied financial risk management. In this paper, we compare VaR forecasts based on different models for return interdependencies: volatility spillover (Engle & Kroner, 1995), dynamic conditional correlations (Engle, 2002, 2009) and (elliptical) copulas (Embrechts et al., 2002). Moreover, competing models for marginal return distributions are applied. In particular, we apply extreme value theory (EVT) models to GARCH-filtered residuals to capture excess returns.Drawing on a sample of daily data covering both calm and turbulent market phases, we analyze portfolios consisting of German Stocks, national indices and FX-rates. VaR forecasts are evaluated using statistical backtesting and Basel II criteria. The extensive empirical application favors the elliptical copula approach combined with extreme value theory (EVT) models for individual returns. 99% VaR forecasts from the EVT-GARCH-copula model clearly outperform estimates from alternative models accounting for dynamic conditional correlations and volatility spillover for all asset classes in times of financial crisis.     

Timing and diversification: A state-dependent asset allocation approach

Abstract

The influence of changing economic environment leads the distribution of stock market returns to be time-varying. A conditionally optimal investment hence requires a dynamic adjustment of asset allocation. In this context, this paper examines the improvement in portfolio performance by simulating portfolio strategies that are conditioned on the Markov regime switching behaviour of stock market returns. Including a memory effect eliminates the empirical shortcoming of discrete state models, namely that they produce a standard and an extreme state in stock returns. So far, this has prevented the regimes from being used as a valuable conditioning variable. Based on a discrete state indicator variable, is presented evidence of considerable performance improvement relative to the static model due to optimal shifting between aggressive and well diversified portfolio structures.     

Consumption, Aggregate Wealth, and Expected Stock Returns

This paper studies the role of fluctuations in the aggregate consumption–wealth ratio for predicting stock returns. Using U.S. quarterly stock market data, we find that these fluctuations in the consumption–wealth ratio are strong predictors of both real stock returns and excess returns over a Treasury bill rate. We also find that this variable is a better forecaster of future returns at short and intermediate horizons than is the dividend yield, the dividend payout ratio, and several other popular forecasting variables. Why should the consumption–wealth ratio forecast asset returns? We show that a wide class of optimal models of consumer behavior imply that the log consumption–aggregate wealth (human capital plus asset holdings) ratio summarizes expected returns on aggregate wealth, or the market portfolio. Although this ratio is not observable, we provide assumptions under which its important predictive components for future asset returns may be expressed in terms of observable variables, namely in terms of consumption, asset holdings and labor income. The framework implies that these variables are cointegrated, and that deviations from this shared trend summarize agents' expectations of future returns on the market portfolio.     

Measuring financial risks with copulas

This paper is concerned with the statistical modeling of the dependence structure of multivariate financial data using the concept of copulas. We select some special copulas and identify the type of dependency captured by each one. We fit copulas to daily returns and simulate from the fitted models. We compare the effect of the choice of copula on risk measures and assess the variability of one-step-ahead predictions of portfolio losses. We analyze extreme scenarios and fit extreme value copulas to the block maxima and minima from daily returns. The stress scenarios constructed are compared to those obtained using models from the extreme value theory. We illustrate the usefulness of the copula approach using two stock market indexes.     

Is VIX an investor fear gauge in BRIC equity markets?

This study examines the intertemporal relationships between CBOE market volatility index (VIX) and stock market returns in Brazil, Russia, India, and China (BRIC), and between VIX and U.S. stock market returns, to uncover if VIX serves as an investor fear gauge in BRIC and U.S. markets. We conduct the VIX-returns analysis for the 1993–2007 period.Our results suggest a strong negative contemporaneous relation between daily changes (innovations) in VIX and U.S. stock market returns. This relation is stronger when VIX is higher and more volatile. A significant negative contemporaneous relation between VIX and equity returns also exists for China and Brazil during 1993–2007 and for India during 1993–1997. Similar to the U.S. market, the immediate negative relation between the Brazilian stock returns and VIX changes is much stronger when VIX is both high and more volatile. Our results also indicate a strong asymmetric relation between innovations in VIX and daily stock market returns in U.S., Brazil, and China, suggesting that VIX is more of a gauge of investor fear than investor positive sentiment. However, the asymmetric relationship between stock market returns and VIX is much weaker when VIX is large and more volatile. These results have potential implications for portfolio diversification and for stock market and option trading timing in the equity markets of Brazil, India, and China. Overall, our results indicate that VIX is not only an investor fear gauge for the U.S. stock market but also for the equity markets of China, Brazil, and India.     

On the relationship between exchange rates and equity returns: A new approach

This paper employs a new approach in order to investigate the underlying relationship between stock markets and exchange rates. Current approaches suggest that the relative equity market performance of two countries is linked to their exchange rate. In contrast, this study proposes an alternative approach where one global variable – global equity market returns – is believed to have an effect on exchange rates, with the relative interest rate level of a currency determining the sign of the relationship. Our empirical findings suggest that exchange rates and global stock market returns are strongly linked. The value of currencies with higher interest rates is positively related with global equity returns, whereas the value of currencies with lower interest rates is negatively related with global equity returns.     

Commodity Prices and Stock Market Behavior in South American Countries in the Short Run

Using Geweke feedback measures, we present empirical evidence that largely supports the hypothesis that the stock markets of South American countries are highly affected by changes in commodity prices after controlling for changes in exchange rates, interest rates, and North American stock market changes. In total, six different Goldman Sachs commodity price indexes are tested against the unexplained variation in stock market returns for Argentina, Brazil, Chile, Colombia, Peru, and Venezuela, covering the period 1995-2007. The Argentinian, Brazilian, and Peruvian stock markets are significantly affected by changes in commodity prices the same day. Venezuela's stock market, however, does not react to changes in commodity prices, even including energy prices. Stock market returns for Chile show a contemporaneous relation with energy and metals prices, whereas Colombia's equity market is affected by price changes for agricultural and industrial metals. In all cases, we find a contemporaneous relation and no indication of a lead or lag relationship.     

Do industries lead stock markets?

We investigate whether the returns of industry portfolios predict stock market movements. In the US, a significant number of industry returns, including retail, services, commercial real estate, metal, and petroleum, forecast the stock market by up to two months. Moreover, the propensity of an industry to predict the market is correlated with its propensity to forecast various indicators of economic activity. The eight largest non-US stock markets show remarkably similar patterns. These findings suggest that stock markets react with a delay to information contained in industry returns about their fundamentals and that information diffuses only gradually across markets.     

Unfunded pension liabilities and stock returns

This paper investigates whether the market rationally anticipates the value implications of unrecognized pension obligations, using a large sample of Japanese firms where pension obligations are substantially underfunded. If a firm's unrecognized pension obligation is not incorporated into its share price, its stock returns will be lower than those of other firms, because its deficit will affect the firm's income statement in the coming years. We find that firms with large unrecognized obligations earn lower risk-adjusted returns. This evidence suggests that the market does not efficiently incorporate information in the pension items.     

Empirical Tests of the Proxy Hypothesis

The proxy hypothesis states that the negative relationship between inflation and stock returns is spurious and really only proxies for the positive relationship between stock returns and real variables. Previous testes of the proxy hypothesis have used actual values instead of forecasted values for the real activity variable. Using only forecasted variables, our results do not support the proxy hypothesis.     

EXPECTATIONS,INTEREST RATES,AND COMMERCIAL BANK STOCKS

This study examines the effect of current and expected interest rate changes on bank equity values and attempts to reconcile the conflicting findings of previous research regarding this issue. A multiple index market model of bank security returns is specified and estimated. The results confirm the existence of an interest rate effect on bank stocks that is not explained by returns on the market portfolio. In addition, bank stock returns appear to be sensitive to an interest rate forecast error.     

BUSINESS CYCLES AND STOCK MARKET RETURNS: EVIDENCE USING INDUSTRY-BASED PORTFOLIOS

Much evidence has emerged recently that suggests stock returns are predictable. In representative agent consumption-based asset pricing models, asset returns are related to aggregate output and consumption through changes in the intertemporal marginal rate of substitution. An alternative view is that the amount of variation required in the intertemporal marginal rate of substitution is too large to be rationally explained. We shed further light on this debate by investigating whether the stock returns of certain sectors of the economy can predict future market returns even after controlling for the information contained in the aggregate market index. In the consumption-based models, aggregate output and consumption affect the discount rates of all assets synchronously; no particular sectoral return should have any more predictive ability than the others. We find evidence that the stock returns of five industry-based portfolios have significant information about future market returns that is not in the market index. This stylized empirical result is not consonant with existing models relating output to stock returns.     

Stock Market Sensitivity to U.K. Firms' Pension Discounting Assumptions

New U.K. pension accounting regulations significantly increase the exposure of the balance sheets of U.K. firms to volatilities in pension fund valuations. We examine whether the abnormal returns of firms that voluntarily used market-based pension discount rates are significantly different from the abnormal returns of industry-matched pair samples of firms that retained traditional cost-based valuation assumptions during the period surrounding the release of the related exposure draft. We also examine the interest rate sensitivity of stock price returns over the 4-year period before and after the announcement date. Consistent with our hypotheses, U.K. stock price returns incorporate the effect of unexpected interest rate changes on sources of pension earnings for firms that voluntarily switched to market-based assumptions but do not incorporate these effects for firms that did not switch. These results suggest that unexpected changes in interest rates have a differential effect on a firm's sources of pension, financial, and core earnings.     

Forecasting Japanese Stock Returns with Financial Ratios and Other Variables

This paper extends the previous analyses of the forecastability of Japanese stock market returns in two directions. First, we carefully construct smoothed market price–earnings ratios and examine their predictive ability. We find that the empirical performance of the price–earnings ratio in forecasting stock returns in Japan is generally weaker than both the price–earnings ratio in comparable US studies and the price dividend ratio. Second, we also examine the performance of several other forecasting variables, including lagged stock returns and interest rates. We find that both variables are useful in predicting aggregate stock returns when using Japanese data. However, while we find that the interest rate variable is useful in early subsamples in this regard, it loses its predictive ability in more recent subsamples. This is because of the extremely limited variability in interest rates associated with operation of the Bank of Japan’s zero interest policy since the late 1990s. In contrast, the importance of lagged returns increases in subsamples starting from the 2000s. Overall, a combination of logged price dividend ratios, lagged stock returns, and interest rates yield the most stable performance when forecasting Japanese stock market returns.