In this paper, we use granular trading data from Taiwan between 2012 and 2016 to examine how local social capital influences retail investor behavior during corporate social irresponsibility (CSIR) events. Therefore, we are responding to longstanding calls in the international finance literature to explore investor behavior in non-US markets with distinct institutional and cultural characteristics. We find that investors residing in cities with higher social capital are less likely to purchase underpriced stocks following the announcements of negative events despite the potential for positive abnormal returns. This norm-driven restraint reflects a form of socially responsible investing motivated by community-based values rather than economic rationality. By documenting this behavior in an East Asian market, we extend the external validity of social norm theories developed in Western settings and contribute to a more nuanced understanding of how localized social preferences can influence asset pricing and capital allocation in a global context.

Tracing negative media attention, this paper investigates the effect of reputational risk on firm value. Decomposing reputational damage into environmental, social and corporate-governance dimensions, it reports that environmental reputational risk has the most significant negative effect on price earnings, i.e., firms exposed to environmental risk are likely to be priced at a discount or charged a higher risk premium when discounting future earnings.

Asset prices are a valuable source of information about financial market participants' expectations about key macroeconomic variables. However, the presence of time-varying risk premia requires an adjustment of market prices to obtain the market's rational assessment of future price and policy developments. This paper reviews empirical approaches for recovering market-based expectations. It starts by laying out the two canonical modeling frameworks that form the backbone for estimating risk premia and highlights the proliferation of risk pricing factors that result in a wide range of different asset-price-based expectation measures. It then describes a key methodological innovation to evaluate the empirical plausibility of risk premium estimates and to identify the most accurate market-based expectation measure. The usefulness of this general approach is illustrated for price expectations in the global oil market. Then, the paper provides an overview of the body of empirical evidence for monetary policy and inflation expectations with a special emphasis on market-specific characteristics that complicate the quest for the best possible market-based expectation measure. Finally, it discusses a number of economic applications where market expectations play a key role for evaluating economic models, guiding policy analysis, and deriving shock measures.

Asset prices are a valuable source of information about financial market participants' expectations about key macroeconomic variables. However, the presence of time-varying risk premia requires an adjustment of market prices to obtain the market's rational assessment of future price and policy developments. This paper reviews empirical approaches for recovering market-based expectations. It starts by laying out the two canonical modeling frameworks that form the backbone for estimating risk premia and highlights the proliferation of risk pricing factors that result in a wide range of different asset-price-based expectation measures. It then describes a key methodological innovation to evaluate the empirical plausibility of risk premium estimates and to identify the most accurate market-based expectation measure. The usefulness of this general approach is illustrated for price expectations in the global oil market. Then, the paper provides an overview of the body of empirical evidence for monetary policy and inflation expectations with a special emphasis on market-specific characteristics that complicate the quest for the best possible market-based expectation measure. Finally, it discusses a number of economic applications where market expectations play a key role for evaluating economic models, guiding policy analysis, and deriving shock measures.

We develop an ethical preference-based model that reproduces the average return and volatility spread between sin and non-sin stocks. Our investors do not necessarily boycott sin companies. Rather, they are open to invest in any company while trading off dividends against ethicalness. When dividends and ethicalness are complementary goods and investors are sufficiently risk averse, the model predicts that the dividend share of sin companies exhibits a positive relation with the future return and volatility spreads. An empirical analysis supports the model’s predictions. Taken together, our results point to the importance of ethical preferences for investors’ portfolio choices and asset prices.

We develop a model that reproduces the return and volatility spread between sin and non-sin stocks, where investors trade off dividends with the ethical assessment of companies. We relax the assumption of boycott behaviour and investigate the role played by the dividend share of sin stocks on their return and volatility spread relative to non-sin stocks. We empirically show that the dividend share predicts a positive return and volatility spread. This pattern is reproduced by our model when dividends and ethicalness are complementary goods and investors are sufficiently risk averse.

Informationally efficient prices are a necessary requirement for optimal resource allocation in the real estate market. Prices are informationally efficient if they reflect buildings’ benefit to marginal buyers, thereby taking account of all available information on future market development. Prices that do not reflect available information may lead to over- or undersupply if developers react to these inefficient prices. In this study, we examine the efficiency of the UK commercial property market and the interaction between prices, construction costs, and new supply. We collated a unique data set covering the years 1920 onwards, which we employ in our study. First, we assess if real estate prices were in accordance with present values, thereby testing for informational efficiency. By comparing prices and estimated present values, we can measure informational inefficiency. Second, we assess if developers reacted correctly to price signals. Development (or the lack thereof) should be triggered by deviations between present values and cost; if prices do not reflect present values, then they should have no impact on development decisions.

This study identifies five distinctive stages of the current global financial crisis: the meltdown of the subprime mortgage market; spillovers into broader credit market; the liquidity crisis epitomized by the fallout of Northern Rock, Bear Stearns and Lehman Brothers with counterparty risk effects on other financial institutions; the commodity price bubble, and the ultimate demise of investment banking in the U.S. The study argues that the severity of the crisis is influenced strongly by changeable allocations of global savings coupled with excessive credit creation, which lead to over-pricing of varied types of assets. The study calls such process a “wandering asset-price bubble“. Unstable allocations elevate market, credit, and liquidity risks. Monetary policy responses aimed at stabilizing financial markets are proposed.

Many situations in the history of the stock markets indicate that assets are not always efficiently priced. But why does it matter whether the stock market is efficiently priced? Because “well-functioning financial markets are a key factor to high economic growth”. (Mishkin and Eakins, 2006, pp. 3-4) In three essays, it is the aim of the author to shed some more light on the topic of market efficiency, which is far from being resolved. Since European equity markets have increased in importance globally, the author, instead of focusing on US markets, looks at a unified European equity market. By testing for a random walk in equity prices, revisiting Shiller’s claim of excess volatility through the means of a vector error correction model, and modifying the Gordon-Growth-Model, the book concludes that a small degree of inefficiency cannot be ruled out. While usually European equity markets are pricing assets correctly, some periods (e.g. the late 1990s and early 2000s) show clear signs of mispricing; the hypothesis of a world with two states (regime one, a normal efficient state, and regime two, a state in which markets are more momentum driven) presents a possible explanation.