What drives international equity correlations? Volatility or market direction?

We consider impulse response functions to study the impact of both return and volatility on the correlation between international equity markets. Using data on the US (as the reference country), Canada, the UK and France equity indices, empirical evidence shows that without taking into account the effect of return, there is an (asymmetric) effect of volatility on correlation. The volatility seems to have an impact on correlation especially during downturn periods. However, once we introduce the effect of return, the impact of volatility on correlation disappears. These observations suggest that, the relation between volatility and correlation is an association rather than a causality. The strong increase in the correlation is driven by the past of the return and the market direction rather than the volatility.     

What drives portfolio investments of German banks in emerging capital markets?

After decades of steady liberalization and financial market development, emerging capital markets experienced unparalleled capital inflows in the aftermath of the emerging markets crisis of the 1990s. This paper studies portfolio investment decisions of German banks in emerging capital markets from 2002 to 2007. The use of a dynamic time-series cross-section framework and the micro database External Position Report provided by Deutsche Bundesbank permit insights into the various determinants of portfolio investments in ECMs. For example, there is evidence that German banks take into account the various dimensions of financial market development in their portfolio investment decisions and anticipate the special risks inherent in emerging markets. Proxies for the overall development and efficiency of capital markets have the highest economic significance of all variables. The introduction of depositary receipts programs has a positive impact on stock market investment. Moreover, there is evidence that global risk aversion exerts a significant influence in times of financial turmoil.     

Which demands affect optimal international portfolio choices?

This study analyzes the asset allocations of simple international portfolios that include domestic risky assets, foreign risky assets, and domestic risk-free bonds, through a theoretical analysis. A close-form solution for the optimal holding rates is derived, and can be further sub-divided into three categories of demand: speculative demand, diversified demand, and hedging demands. We carefully explore the essential problem of identifying the underlying reasons for asset allocations, which in turn allows us to answer the question of which of these demands are critical in influencing holding changes.     

What drives China's current account?

The paper offers an empirical taxonomy of the factors driving China's current account. A simple present-value model with non-tradeable goods explains more than 70 percent of current account variability over the period 1982–2007, including the persistent surpluses since 2001. It also correctly predicts the decline of China's current account since 2008. Expected increases in the prices of non-tradeables (e.g. housing and medical care) and expected declines in net output (GDP less investment and government spending) are the main channels of external adjustment. Much of China's current account surplus seems driven by shocks that have global effects by persistently depressing the world real interest rate. This is consistent with recent theoretical models that suggest that factors related to China's domestic financial development are key in understanding global imbalances.     

What drives stochastic risk aversion?

This paper examines determinants of stochastic relative risk aversion in conditional asset pricing models. Novel time-series specification tests are proposed as direct extensions of Guo, Wang, and Yang (2013, JMCB)'s model using nonlinear state-space models with heteroskedasticity. I then establish the following facts. First, the surplus consumption ratio implied by the external habit formation model is the most important determinant of relative risk aversion. Second, the CAY of Lettau and Ludvigson (2001a) without a look-ahead bias and the short term interest rate explain part of relative risk aversion. Third, the estimated risk aversion from 1957Q2 to 2010Q3 is countercyclical and positive. Finally, the selected models explain part of the momentum and the financial distress premiums.     

Alpha or beta in the eye of the beholder: What drives hedge fund flows?

Capital Asset Pricing Model (CAPM) alpha explains hedge fund flows better than alphas from more sophisticated models. This suggests that investors pool together sophisticated model alpha with returns from exposures to traditional (except for the market) and exotic risks. We decompose performance into traditional and exotic risk components and find that while investors chase both components, they place greater relative emphasis on returns associated with exotic risk exposures that can only be obtained through hedge funds. However, we find little evidence of persistence in performance from traditional or exotic risks, which cautions against investors’ practice of seeking out risk exposures following periods of recent success.     

What drives corporate liquidity? An international survey of cash holdings and lines of credit

We survey chief financial officers from 29 countries to examine whether and why firms use lines of credit versus non-operational (excess) cash for their corporate liquidity. We find that these two liquidity sources are employed to hedge against different risks. Non-operational cash guards against future cash flow shocks in bad times, while credit lines give firms the option to exploit future business opportunities available in good times. Lines of credit are the dominant source of liquidity for companies around the world, comprising about 15% of assets, while less than half of the cash held by companies is held for non-operational purposes, comprising about 2% of assets. Across countries, firms make greater use of lines of credit when external credit markets are poorly developed.     

What drives mortgage fees in Australia?

We investigate the factors that affect total, ongoing and origination fees of mortgages in Australia during the period 1996 to 2011. We find that banks charge significantly higher total and ongoing fees than mortgage corporations although they require lower origination fees. We also find that fee levels are dependent on loan size, loan‐to‐value ratio and loan features like term of the loan and presence of an offset account. Further, we confirm that lenders trade‐off higher (lower) interest rates with lower (higher) fee levels. Finally, our results show that mortgage fees are significantly affected by market conditions.     

What drives stock returns in Japan?

Financial Markets and Portfolio Management - We investigate systematic factors driving stock returns and stock return predictability in Japan. We find that dividend yield, cash-flow yield, and...     

What drives the disappearing dividends phenomenon?

We study the determinants of dividend payout policy and examine the role of liquidity, risk and catering in explaining the changes in propensity to pay. Our results indicate that risk plays a major role in firms’ dividend policy. The evidence substantiates from a large sample of firms representing 18 countries over the sample period from 1989 to 2011. For firms in the US, France, UK and Other European markets, liquidity is additionally an important determinant of dividend policy. We find that, although catering incentives persist only among firms in common law countries and not in civil law countries, after adjusting for risk there is little support for catering theory even among firms incorporated in common law countries. Our results indicate that catering incentives reflect the risk-reward relationship in the changing propensity to pay dividends.     

What drives local lending by global banks?

We find that the lending behavior of global banks’ subsidiaries throughout the world is more closely related to local macroeconomic conditions and their financial conditions than to those of their owner-specific counterparts. This inference is drawn from a panel dataset populated with bank-level observations from the Bankscope database. Using this database, we identify ownership structures and incorporate them into a unique methodology that identifies and compares the owner and subsidiary-specific determinants of lending. A distinctive feature of our analysis is that we use multi-dimensional country-level data from the BIS international banking statistics to account for exchange rate fluctuations and cross-border lending.     

What drives bank securitisation? The Spanish experience

This paper analyses the reasons why Spanish banks securitised in the period 2000–2007 on such a large scale that Spain has become the European country with the second-largest issuance volume after the UK.     

What drives the performance of convertible-bond funds?

This paper examines the performance of US mutual funds that invest primarily in convertible bonds. Multivariate cross-sectional analyses show a significant relation between a fund’s performance and its asset composition: the higher the difference in the percentage of assets invested in convertible bonds compared to the percentage invested in stocks, the higher the performance, on average. We show that this result can be explained by factors associated with investment opportunities in the convertible-bond market and trading strategies related to convertible arbitrage, as typically performed by hedge funds. Overall, convertible-bond fund performance measured by alpha is comparable to a passive investment in stocks, bonds, and convertible bonds. This performance is the result of weak selection skills and successful timing strategies related to convertible arbitrage.     

What moves international stock and bond markets?

We study the relation between international mutual fund flows and the different return components of aggregate equity and bond markets. First, we decompose international equity and bond market returns into changes in expectations of future real cash payments, interest rates, exchange rates, and discount rates. News about future cash flows, rather than discount rates, is the main driver of international stock returns. This evidence is in contrast with the typical results reported only for the US. Inflation news instead is the main driver of international bond returns. Next, we turn to the interaction between these return components and international portfolio flows. We find evidence consistent with price pressure, short-term trend chasing, and short-run overreaction in the equity market. We also find that international bond flows to emerging markets are more sensitive to interest rate shocks than equity flows.     

What drives volatility persistence in the foreign exchange market?

We propose a new empirical specification of volatility that links volatility to the information flow, measured as the order flow in the market, and to the price sensitivity to that information. The time-varying market sensitivity to information is estimated from high-frequency data, and movements in volatility can therefore be directly related to movements in order flow and market sensitivity. Empirically, the model explains a large share of the long-run variation in volatility. Importantly, the time variation in the market's sensitivity to information is at least as relevant in explaining the persistence of volatility as the rate of information arrival itself. This may be evidence of a link between changes over time in the aggregate behavior of market participants and the time-series properties of realized volatility.     

What drives asymmetric dependence structure of asset return comovements?

We examine the determinants of return comovements of three different asset classes and provide critical insights on the key macroeconomic and non-macroeconomic factors which drive the asset return comovements during economic contraction and expansion regimes. We show that amongst the macroeconomic factors, interest rate and inflation have significant effect on the return comovements during the economic contraction regime whilst risk aversion significantly affects the return comovements during the economic expansion regime. The non-macroeconomic factors, output uncertainty, bond illiquidity and depth of recession contribute significantly in explaining the variations of return comovements for all asset pairs during both economic contraction and expansion periods except for real estate-based portfolios. Our results are robust to alternative model specification that uses regime switching MGARCH model.     

What do accruals tell us about future cash flows?

Our model, which is adapted from Feltham and Ohlson (Contemp Account Res 11:689–731, 1995) and Ohlson (Contemp Account Res 11:661–687, 1995) and extends Dechow and Dichev (Account Rev 77:35–59, 2002), characterizes the information about future cash flows reflected in accruals. It reveals investors can extract from accruals information about next period’s economic factor and the transitory part of one component of next period’s cash flow. The extent to which each accrual provides this information depends on whether the accrual aligns future or past cash flows and current period economics and whether it relates to the current or prior period. Thus each type of accrual has a different coefficient in valuation and forecasting cash flows or earnings. Each coefficient combines an information weight reflecting the information that accrual type provides and a multiple reflecting how that information is used in valuation and cash flow and earnings forecasting. The empirical evidence supports our main insight, namely that partitioning accruals based on their role in cash-flow alignment increases their ability to forecast future cash flows and earnings and explain firm value.     

What drives the increased informativeness of earnings announcements over time?

Landsman and Maydew (J Acc Res 40:797–808, 2002) document that the information content of earnings announcements has increased over the past three decades, and Francis et al. (Acc Rev, 77:515–546, 2002) conclude that expanded concurrent disclosures in firms’ earnings announcements, especially the inclusion of detailed income statements, explain this increase. We posit and find that the temporal increase in the intensity of the market’s reaction to Street earnings offers a competing explanation for the Landsman and Maydew finding. We also find that expanded concurrent disclosure of GAAP-based information contributes to the temporal increase in the information content of earnings announcements. However, unlike Francis et al., we find that the temporal increase in concurrent balance sheet and cash flow statement information dominates concurrent income statement information once we control for Street earnings.

Controlling capital? Legal restrictions and the asset composition of international financial flows

How effective are capital account restrictions? We provide new answers based on a novel panel data set of capital controls, disaggregated by asset class and by inflows/outflows, covering 74 countries during 1995–2005. We find the estimated effects of capital controls to vary markedly across the types of capital controls, both by asset categories, by the direction of flows, and across countries' income levels. In particular, both debt and equity controls can substantially reduce outflows, with little effect on capital inflows, but only high-income countries appear able to effectively impose debt (outflow) controls. The results imply that capital controls can affect both the volume and the composition of capital flows.     

What drives the market value of firms in the defense industry?

This article assesses the relative importance of different types of news in driving significant stock price changes in the defense industry. We implement a systematic event study with the 58 largest publicly listed companies in the defense industry, over the time period 1995-2005. We first identify, for each firm, the statistically significant abnormal returns over the time period. Then, we look for information releases likely to cause such stock price movements. Most of the key drivers in the defense industry are the same as in other industries (key role of formal earnings announcements and analysts’ recommendations) but we also identify some specific features, in particular the influence of geopolitical events and the relevance and frequency of bids and contracts on stock prices. Finally, we examine the impact of the September 11 terrorist attacks on defense firms.