Simplified Estimation of Economic Seismic Risk for Buildings

A seismic risk assessment is often performed on behalf of a buyer of commercial buildings in seismically active regions. One outcome of the assessment is that a probable maximum loss (PML) is computed. PML is of limited use to real-estate investors as it has no place in a standard financial analysis and reflects too long a planning period. We introduce an alternative to PML called probable frequent loss (PFL), defined as the mean loss resulting from shaking with 10% exceedance probability in 5 years. PFL is approximately related to expected annualized loss (EAL) through a site economic hazard coefficient (H) introduced here. PFL and EAL offer three advantages over PML: (1) meaningful planning period; (2) applicability in financial analysis (making seismic risk a potential market force); and (3) can be estimated using a single linear structural analysis, via a simplified method called linear assembly-based vulnerability (LABV) that is presented in this work. We also present a simple decision-analysis framework for real-estate investments in seismic regions, accounting for risk aversion. We show that market risk overwhelms uncertainty in seismic risk, allowing one to consider only expected consequences in seismic risk. We illustrate using 15 buildings, including a 7-story nonductile reinforced-concrete moment-frame building in Van Nuys, California, and 14 buildings from the CUREE-Caltech Woodframe Project

(WP 2014-01) Is Bitcoin the \u27Paris Hilton\u27 of the Currency World? Or Are the Early Investors onto Something That Will Make Them Rich? [updated version]

The bitcoin phenomenon, and the technological innovation that made it possible, is interesting - but for investors large and small, the more pertinent question is whether they should buy the digital currency or avoid it. We analyze a bitcoin investment from the standpoint of an investor with a diversified portfolio using both in-sample and out-of-sample settings. Within the in-sample setting, bitcoin does not yield added value to investors with utility function consistent with the mean-variance setting. On the other hand, they do offer diversification benefits to investors with negative exponential and power utility functions. However, these benefits are not preserved in the out-of-sample framework. In most cases, the optimal portfolios that include only the traditional asset classes appear to have superior performance

Conditional Asset Allocation under Non-Normality: How Costly is the Mean-Variance Criterion?

We evaluate how departure from normality may affect the conditional allocation of wealth. The expected utility function is approximated by a forth-order Taylor expansion that allows for non-normal returns. Market returns are characterized by a joint model that captures the time dependency and the shape of the distribution. We show that under large departure from normality, the mean-variance criterion can lead to portfolio weights that differ signifficantly from those obtained using the optimal strategy accounting for non-normality. In addition, the opportunity cost for a risk-adverse investor to use the sub- optimal mean-variance criterion can be very large.Volatility; Skewness; Kurtosis; GARCH model; Multivariate skewed Student-t distribution; Stock returns; Asset allocation; Emerging markets

The Cost of Legal Restrictions on Experience Rating

We investigate the cost of legal restrictions on experience rating in auto and home insurance. The cost is an opportunity cost as experience rating can mitigate the problems associated with unobserved heterogeneity in claim risk, including mispriced coverage and resulting demand distortions. We assess this cost through a counterfactual analysis in which we explore how risk predictions, premiums, and demand in home insurance and two lines of auto insurance would respond to unrestricted multiline experience rating. Using claims data from a large sample of households, we first estimate the variance-covariance matrix of unobserved heterogeneity in claim risk. We then show that conditioning on claims experience leads to material refinements of predicted claim rates. Lastly, we assess how the households’ demand for coverage would respond to multiline experience rating. We find that the demand response would be large

On the willingness-to-pay for Elodea removal in the Fairbanks North Star Borough

Thesis (M.S.) University of Alaska Fairbanks, 2018The empirical research conducted herein addresses a public need for the funding of a project that would eradicate Elodea in the Fairbanks North Star Borough (FNSB). The eradication project has been outlined and approved by State and Federal agencies and has gathered funding to begin the eradication process. The study aims to develop a mean willingness-to-pay value for survey participants by shifting the funding burden to property tax payers. This body of work includes a primer on Elodea in the borough, an overview of contingent valuation, a parametric approach to willingness-to-pay, and results of the study conducted on Fairbanks property owners. The average willingness-to-pay per survey respondent is $50.32. In addition, 72$10, $30,$60, or $120 per year for 4 years to fund the proposed program. A penalized maximum log-likelihood estimation found that the most significant predictors for the likelihood of a yes vote are the respondent's perceived risk to the ecosystem and recreational opportunities. Additionally, the respondents concern for the use of herbicides in the borough to treat the Elodea infestation is highly significant. The high level of prior knowledge throughout the survey indicates that respondents had established view on Elodea prior to the survey.Introduction -- An Elodea Primer for the Fairbanks North Star Borough -- What is Elodea? -- Natural and Recreational Impacts of Elodea Infestations -- Treatment Options -- Elodea Eradication Project in the Interior -- Literature Review -- Introduction to Contingent Valuation -- A Brief History on Contingent Valuation -- Willingness-to-Pay vs. Willingness-to-Accept -- Convergent Validity for Hypothetical Dichotomous Choice Formats -- Willingness-to-Pay Elicitation Methods -- A Parametric Approach to Referendum Based Willingness-To-Pay -- Introduction -- Random Utility Model -- Penalized Log Likelihood Maximization for Dichotomous Choice Data -- Willingness-To-Pay Estimations -- Willingness-To-Pay for Elodea Removal in the Fairbanks North Star Borough -- Sampling -- Survey instrument -- Data -- Logit estimation and mean WTP results -- Discussion of Results -- Conclusion -- Appendix A -- Appendix B -- References

Entry Costs and Stock Market Participation Over the Life Cycle

Several explanations for the observed limited stock market participation have been offered in the literature. One of the most promising one is the presence of market frictions mostly in the form of fixed entry and/or transaction costs. Empirical studies strongly point to a significant structural (state) dependence in the the stock market entry decision, which is consistent with costs of these types. However, the magnitude of these costs are not yet known. This paper focuses on fixed stock market entry costs. I set up a structural estimation procedure which involves solving and simulating a life cycle intertemporal portfolio choice model augmented with a fixed stock market entry cost. Important features of household portfolio data (from the PSID) are matched to their simulated counterparts. Utilizing a Simulated Minimum Distance estimator, I estimate the coefficient of relative risk aversion, the discount factor and the stock market entry cost. Given the equity premium and the calibrated income process, I estimate a one-time entry cost of approximately 2 percent of (annual) permanent income. My estimated model matches the zero median holding as well as the hump-shaped age-participation profile observed in the data.Entry costs, Stock market, Structural estimation

Entry costs and stock market participation over the life cycle

Several explanations for the observed limited stock market participation have been offered in the literature. One of the most promising one is the presence of market frictions mostly in the form of fixed entry and/or transaction costs. Empirical studies strongly point to a significant structural (state) dependence in the the stock market entry decision, which is consistent with costs of these types. However, the magnitude of these costs are not yet known. This paper focuses on fixed stock market entry costs. I set up a structural estimation procedure which involves solving and simulating a life cycle intertemporal portfolio choice model augmented with a fixed stock market entry cost. Important features of household portfolio data (from the PSID) are matched to their simulated counterparts. Utilizing a Simulated Minimum Distance estimator, I estimate the coefficient of relative risk aversion, the discount factor and the stock market entry cost. Given the equity premium and the calibrated income process, I estimate a one-time entry cost of approximately 2 percent of (annual) permanent income. My estimated model matches the zero median holding as well as the hump-shaped age-participation profile observed in the data.Entry costs; Stock market; Structural estimation

Does the Failure of the Expectations Hypothesis Matter for Long-Term Investors

We consider the consumption and portfolio choice problem of a long-run investor when the term structure is affine and when the investor has access to nominal bonds and a stock portfolio. In the presence of unhedgeable inflation risk, there exist multiple pricing kernels that produce the same bond prices, but a unique pricing kernel equal to the marginal utility of the investor. We apply our method to a three-factor Gaussian model with a time-varying price of risk that captures the failure of the expectations hypothesis seen in the data. We extend this model to account for time-varying expected inflation, and estimate the model with both inflation and term structure data. The estimates imply that the bond portfolio for the long-run investor looks very different from the portfolio of a mean-variance optimizer. In particular, the desire to hedge changes in term premia generates large hedging demands for long-term bonds.